Pith. sign in

Paper Citation Record · LEDGER

Generation of Synthetic Clinical Text: A Systematic Review

As of 10 August 2026, this Paper Citation Record lists 100 of 256 outbound references and 3 inbound Pith citation observations for arXiv:2507.18451.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.18451 v1

Coverage vector

measured 100 of 256 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:35:31.177300Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:41:10.816907Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T11:48:15.135068Z

Reference resolution

100 of 256 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b97fce3d-2070-414e-be71-ce673ff2b8fd · outbound

This paper cites Should free-text data in electronic medical records be shared for research? a citizens’ jury study in the UK.

Generation of Synthetic Clinical Text: A Systematic Review Should free-text data in electronic medical records be shared for research? a citizens’ jury study in the UK

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.661348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.661348Z digest=sha256:c95e5c41304cdb0e639f4b4460605534afc98b97a9cbcb1e794affb0e6d8db79

Observation 5fc84f31-89b2-4c04-92e8-34e92a72e8b7 · outbound

This paper cites Synonym-based text generation in restructuring imbalanced dataset for deep learning models.

Generation of Synthetic Clinical Text: A Systematic Review Synonym-based text generation in restructuring imbalanced dataset for deep learning models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.667411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.667411Z digest=sha256:5c46361bce53a8c6a8d35406552c0ec2714958f559b70b7a94de1df58b088b2c

Observation 0bccb547-8173-44f5-8efb-96a2c81b05d2 · outbound

This paper cites Generating natural language adversarial examples on a large scale with generative models, 2020.

Generation of Synthetic Clinical Text: A Systematic Review Generating natural language adversarial examples on a large scale with generative models, 2020

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.673446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.673446Z digest=sha256:8b371873d60fdbf99442b7e87692444620182eed27d16868121424ad20a2bdfc

Observation c1888175-b96d-42d2-971e-6b8a3887f1f9 · outbound

This paper cites Synthetic data generation: State of the art in health care domain.

Generation of Synthetic Clinical Text: A Systematic Review Synthetic data generation: State of the art in health care domain

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.678452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.678452Z digest=sha256:58634d2c01c2bb26fa1520ef52cc4cf1f9588b72ac4b59f0a46c084554d81755

Observation 1d6289fc-60b2-4aa2-88ba-b23170eecd99 · outbound

This paper cites Synthetic data generation for tabular health records: A systematic review.

Generation of Synthetic Clinical Text: A Systematic Review Synthetic data generation for tabular health records: A systematic review

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.684347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.684347Z digest=sha256:cc6cb531a8693bba3cc560c57882e368f00517393a30a5214bace7b74aa786ce

Observation b7dc9c17-e303-427c-9dae-e5119519640c · outbound

This paper cites Deep generative models for synthetic data: A survey.

Generation of Synthetic Clinical Text: A Systematic Review Deep generative models for synthetic data: A survey

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.689458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.689458Z digest=sha256:2e81b270bea69987ce8b5334c8bd6faf0f6fb8ed17be7bc5bdbdcd09718e113e

Observation d24daec3-d3cc-4d42-b801-eba00ea46a42 · outbound

This paper cites A systematic literature review: deep learn- ing techniques for synthetic medical image generation and their applications in radiotherapy.

Generation of Synthetic Clinical Text: A Systematic Review A systematic literature review: deep learn- ing techniques for synthetic medical image generation and their applications in radiotherapy

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.695246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.695246Z digest=sha256:48732e4920911465f90eefbd3271925f66792d080e12b39b4357e3c0edcf32cb

Observation 2875790c-4b8c-4bc1-9d9e-e67e35ca31f1 · outbound

This paper cites Ghosheh, Jin Li, and Tingting Zhu.

Generation of Synthetic Clinical Text: A Systematic Review Ghosheh, Jin Li, and Tingting Zhu

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.700820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.700820Z digest=sha256:09200606be3b6ff79be937b43d036898b81e001b4af82fc2c19022765a056c7d

Observation 2fc09739-a793-4d90-aa59-2e09e98f360f · outbound

This paper cites Evalua- tion of synthetic electronic health records: A systematic review and experimental assessment.

Generation of Synthetic Clinical Text: A Systematic Review Evalua- tion of synthetic electronic health records: A systematic review and experimental assessment

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.705707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.705707Z digest=sha256:42592bec808c4d88710fa84a8956d385fdefca0877cd58b9dedebb6d30b7bd72

Observation 4affdc7a-0bda-4f68-a2f4-a5d532bf6592 · outbound

This paper cites Pezoulas, Dimitrios I.

Generation of Synthetic Clinical Text: A Systematic Review Pezoulas, Dimitrios I

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.710848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.710848Z digest=sha256:1ab4071c6d19b0610ff7cb18a2b1528fa62a443eec80285cebb6033c4b83c641

Observation 418bdd15-ab01-4952-8fb9-a758c974f76e · outbound

This paper cites Primer on generative artificial intelligence and large language models in medical imaging.

Generation of Synthetic Clinical Text: A Systematic Review Primer on generative artificial intelligence and large language models in medical imaging

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.716184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.716184Z digest=sha256:c5e006057e3da6f48c9e7fe7a27e32e7305fdd617db0a0590b93013732eb7e09

Observation 298e706e-9b22-43dd-9379-9c2ee9bd3c44 · outbound

This paper cites Generative ai for synthetic 14 data across multiple medical modalities: A systematic review of recent developments and challenges.

Generation of Synthetic Clinical Text: A Systematic Review Generative ai for synthetic 14 data across multiple medical modalities: A systematic review of recent developments and challenges

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.721048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.721048Z digest=sha256:3fe8b86df2bf6d82d6fa0bf284888675a45b7b0c0e384891f06c50260e176a38

Observation 6a53aac6-8ac3-44af-80d1-23d4c8a1d7dd · outbound

This paper cites Five steps to conducting a systematic review, 2003.

Generation of Synthetic Clinical Text: A Systematic Review Five steps to conducting a systematic review, 2003

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.726076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.726076Z digest=sha256:522736ba0422633d8f982646508d5a237308a18e633dfa9bade6800d5fd45d47

Observation a49b869d-6150-4b20-b4ab-42cc2fb7bf6e · outbound

This paper cites Systematic reviews and meta-analyses, February 2011.

Generation of Synthetic Clinical Text: A Systematic Review Systematic reviews and meta-analyses, February 2011

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.731301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.731301Z digest=sha256:07b743e6fd8181f0c638b0bba828e3d3ec54b7ee87ce2e355faf871ce8666e74

Observation f488a91c-c779-4f7d-bc6c-8555a32c23dd · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Generation of Synthetic Clinical Text: A Systematic Review Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.736799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.736799Z digest=sha256:e8e957998e0e6f13f9649f2c9db74e8630c2ed3c88e53acd106d744aaa4bf238

Observation 3f031291-1d17-43e8-8b8c-5da815832cee · outbound

This paper cites Automatic generation of electronic medical record based on gpt2 model.

Generation of Synthetic Clinical Text: A Systematic Review Automatic generation of electronic medical record based on gpt2 model

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.741725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.741725Z digest=sha256:bb9ba0390ab29e3c3a0f39237194addd44590ff9ebb36118b0dac1fc505627d4

Observation 82df8f77-cf29-45d4-bb1b-4715ae137e2c · outbound

This paper cites Cmed-gpt: Prompt tuning for entity-aware chinese medical dialogue generation, 2023.

Generation of Synthetic Clinical Text: A Systematic Review Cmed-gpt: Prompt tuning for entity-aware chinese medical dialogue generation, 2023

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.747205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.747205Z digest=sha256:58b09c521405237a92750c99bc7aea40dc2b82f25d1316eaf9f4f675437d7cfc

Observation 4663bb29-53e9-40f0-93f4-fcc9995764e5 · outbound

This paper cites Generation of synthetic elec- tronic medical record text.

Generation of Synthetic Clinical Text: A Systematic Review Generation of synthetic elec- tronic medical record text

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.752238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.752238Z digest=sha256:9c4894f471414a9bbfdfce8203480001fa1c77b6ecb82136fb534c4abe2085ef

Observation ee0a8c91-2ed2-4ebd-a320-3d5607b83869 · outbound

This paper cites Medconqa: Medical conversational question answering system based on knowledge graphs.

Generation of Synthetic Clinical Text: A Systematic Review Medconqa: Medical conversational question answering system based on knowledge graphs

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.757319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.757319Z digest=sha256:1ae250a0f23683f00fe22b3b08c85130be74cdd2b24eb7cb591fb21a1cb6caf3

Observation f1fe1192-53e8-459a-9b5b-2e8d7d222ab1 · outbound

This paper cites A method for generating synthetic electronic medical record text.

Generation of Synthetic Clinical Text: A Systematic Review A method for generating synthetic electronic medical record text

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.762288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.762288Z digest=sha256:6f8b693b9e086c31889fee216ddf56a8115cd0794ea4c2c0376d7f47f2f3703e

Observation c6022475-391f-4f09-8c03-4fa9deb962c0 · outbound

This paper cites Research on text generation of medical intelligent question and answer based on bi-lstm and neural network technology.

Generation of Synthetic Clinical Text: A Systematic Review Research on text generation of medical intelligent question and answer based on bi-lstm and neural network technology

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.768650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.768650Z digest=sha256:993c625b983576c91d886406de5d8db69b9493102b02e66e931093e72cce3489

Observation 07393442-709b-4586-84ef-42bded1f6837 · outbound

This paper cites Schapranow.

Generation of Synthetic Clinical Text: A Systematic Review Schapranow

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.773644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.773644Z digest=sha256:3f751f1f4ec148a702de2eedd490a1d2899800f870339f513a7b39ff37666020

Observation 13600586-545d-4bb9-b8eb-42d3421149b4 · outbound

This paper cites GRASCCO — the first publicly shareable, multiply-alienated german clinical text corpus.

Generation of Synthetic Clinical Text: A Systematic Review GRASCCO — the first publicly shareable, multiply-alienated german clinical text corpus

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.778693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.778693Z digest=sha256:1700336605602af82a02d8e6547d54f2a86d5ed9da4ad3bd417125c3d7937935

Observation 93e0efcc-f361-4051-ad10-a0bd72917b5a · outbound

This paper cites Sharing copies of synthetic clinical corpora without physical distribution — a case study to get around IPRs and privacy constraints fea- turing the German JSYNCC corpus.

Generation of Synthetic Clinical Text: A Systematic Review Sharing copies of synthetic clinical corpora without physical distribution — a case study to get around IPRs and privacy constraints fea- turing the German JSYNCC corpus

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.783856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.783856Z digest=sha256:c85fd809c5cd0a71b7bb6045b8453f0789c3e118c32a2b3ea335b61aea1f2158

Observation 55f9ebb2-3836-4bc7-bd18-3090dda3b3bd · outbound

This paper cites Reinforcement 15 learning with imbalanced dataset for data-to-text medical report generation.

Generation of Synthetic Clinical Text: A Systematic Review Reinforcement 15 learning with imbalanced dataset for data-to-text medical report generation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.788535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.788535Z digest=sha256:3b8c44068e5037169769c7bd721ad773a64634cd1d52ac96b83a3351f2045a57

Observation 897dbb1b-e7b3-4a2b-893a-c8d58199c87b · outbound

This paper cites A practical and universal framework for generating publicly available medical notes of authentic quality via the power of crowds.

Generation of Synthetic Clinical Text: A Systematic Review A practical and universal framework for generating publicly available medical notes of authentic quality via the power of crowds

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.793472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.793472Z digest=sha256:69948a1428f2e862344202fdaffcf2ef9e3496bf225bb807f32a3fe578d78d13

Observation dde118c2-85a9-48de-acb1-0af10fe40081 · outbound

This paper cites Cognitive assessment of japanese older adults with text data augmentation.

Generation of Synthetic Clinical Text: A Systematic Review Cognitive assessment of japanese older adults with text data augmentation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.798238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.798238Z digest=sha256:b9ba7de3f55d8f45f66e13a6eb07657643f3d44dc707538b027835a2a66e1a07

Observation 81a85a15-ce59-47c8-aa7e-1be34e9d440f · outbound

This paper cites Instruction-guided deidentification with synthetic test cases for norwegian clinical text.

Generation of Synthetic Clinical Text: A Systematic Review Instruction-guided deidentification with synthetic test cases for norwegian clinical text

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.803882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.803882Z digest=sha256:d3c403f9f2e966cacd06e6d083cdedfe6af578f31a3648775ccee95f28c6a271

Observation 5ccfa753-4220-4b9d-90f2-b1b976b1dba4 · outbound

This paper cites Iterative development of family history annotation guidelines using a synthetic corpus of clinical text.

Generation of Synthetic Clinical Text: A Systematic Review Iterative development of family history annotation guidelines using a synthetic corpus of clinical text

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.808613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.808613Z digest=sha256:4c0ebab58d084e072c7e22f168f7618204fce47757d62dad6e6b75a521f4b38e

Observation e0c9f93f-d3b3-43d8-8595-6528b79bdd35 · outbound

This paper cites Brekke, Taraka Rama, Ildik´ o Pil´ an, Øystein Nytrø, and Lilja Øvrelid.

Generation of Synthetic Clinical Text: A Systematic Review Brekke, Taraka Rama, Ildik´ o Pil´ an, Øystein Nytrø, and Lilja Øvrelid

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.813233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.813233Z digest=sha256:d3856c720aaf4670d6d0eb2eb2ef847616552064918ad1ce86f2943155773022

Observation 1b7bc542-3661-4803-a15a-b189999c3eac · outbound

This paper cites Can synthetic text help clinical named entity recognition? a study of electronic health records in French.

Generation of Synthetic Clinical Text: A Systematic Review Can synthetic text help clinical named entity recognition? a study of electronic health records in French

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.818628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.818628Z digest=sha256:1d7b97bdc0fe96b522e0b52f5105d31c343b5d8251ab3edf8e51565b0d031419

Observation 4761b866-4815-46c4-95cf-5887cb460df9 · outbound

This paper cites Generating synthetic training data for supervised de-identification of electronic health records.

Generation of Synthetic Clinical Text: A Systematic Review Generating synthetic training data for supervised de-identification of electronic health records

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.828366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.828366Z digest=sha256:387d3eb84cdd5346e17d480d50d5cd99448f551831a40fe6a9ca789a278a2b81

Observation 4202a4da-bdaf-494c-a7b6-9f0853e1ffdf · outbound

This paper cites Synthetic Arabic medical dialogues using advanced multi-agent LLM techniques.

Generation of Synthetic Clinical Text: A Systematic Review Synthetic Arabic medical dialogues using advanced multi-agent LLM techniques

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.833339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.833339Z digest=sha256:494815b24135b9900e664606a43af8f366c27885b4c05e60bebad1aaf7f5ce04

Observation cd2fecbd-f25b-4baa-9260-e0edd81add1a · outbound

This paper cites AI-driven approach for automatic synthetic patient status corpus generation.

Generation of Synthetic Clinical Text: A Systematic Review AI-driven approach for automatic synthetic patient status corpus generation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.838149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.838149Z digest=sha256:413a5c31067e534cdc61bfc0b74ee2cc48d46c648ab8ec139483173933285cf6

Observation 3196913d-8ca6-46b6-9c24-f3071ab05cd0 · outbound

This paper cites Johnson, Tom J.

Generation of Synthetic Clinical Text: A Systematic Review Johnson, Tom J

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.842778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.842778Z digest=sha256:ef4dad9918034f3de2d4267db75a691f362f4203a707c3da878eb565ebe0baa7

Observation 8af3648c-d68e-4291-9af8-43b7e4f92eac · outbound

This paper cites an unresolved cited work.

Generation of Synthetic Clinical Text: A Systematic Review Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.847603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.847603Z digest=sha256:724eb8163c2e535f31b0b63fd839220f849c02965598bb412b817c072a878c9f

Observation e5958215-e6fe-46ff-b81a-d688aa43431c · outbound

This paper cites Kohli, Marc B.

Generation of Synthetic Clinical Text: A Systematic Review Kohli, Marc B

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.852334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.852334Z digest=sha256:ad7542e0318b4e005aae6f03b85e6e6546351d559bb947545b6d8f5ce5c57a75

Observation f5709500-40ce-4228-ae50-44b2fb6d5a73 · outbound

This paper cites Annotated dataset creation through general purpose language models for non-english medical nlp, 2022.

Generation of Synthetic Clinical Text: A Systematic Review Annotated dataset creation through general purpose language models for non-english medical nlp, 2022

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.857504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.857504Z digest=sha256:c846ddec44e6f73875bd8905fbd5c475cb788a14e3e39b932e3b4b0b06a36c95

Observation fb6d939d-f020-4f38-9b5d-ae520d180521 · outbound

This paper cites Joyce, Niall Taylor, Alejo Nevado-Holgado, Andrea Cipriani, and An- drey Kormilitzin.

Generation of Synthetic Clinical Text: A Systematic Review Joyce, Niall Taylor, Alejo Nevado-Holgado, Andrea Cipriani, and An- drey Kormilitzin

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.862538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.862538Z digest=sha256:e0a31fdce9a022cb1f22a1d4538cc01c6c2ba9baf7dafca76b7a736a09ff3ee0

Observation 05531285-ae56-4a8c-a564-fc7bdf94095a · outbound

This paper cites Does synthetic data generation of llms help clinical text mining?, 2023.

Generation of Synthetic Clinical Text: A Systematic Review Does synthetic data generation of llms help clinical text mining?, 2023

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.868193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.868193Z digest=sha256:d3c0a8ae9d45b84299888a5717d96664001b74e8f1e4abfb0e31c29164e34b1b

Observation aa7c2685-d124-416e-9f0e-dbdce95581ea · outbound

This paper cites Two directions for clinical data generation with large language models: Data-to-label and label-to-data.

Generation of Synthetic Clinical Text: A Systematic Review Two directions for clinical data generation with large language models: Data-to-label and label-to-data

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.873265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.873265Z digest=sha256:71a6185ab9dbb59707f6202a9de138d65ec91004c586791c8838d9156ca4af7a

Observation e18a6761-d29a-4eac-b324-4d517746edc9 · outbound

This paper cites An adversorial approach to enable re-use of machine learning models and collaborative research efforts using synthetic unstructured free-text medical data, August 2019.

Generation of Synthetic Clinical Text: A Systematic Review An adversorial approach to enable re-use of machine learning models and collaborative research efforts using synthetic unstructured free-text medical data, August 2019

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.877996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.877996Z digest=sha256:9d5ce3a3916643705e72f332957f250866470bcf5464f5a5429f09de26acff54

Observation 113bfae8-c4de-4a7c-a01f-8795e17dda0d · outbound

This paper cites Are synthetic clinical notes useful for real natural language processing tasks: A case study on clinical entity recognition.

Generation of Synthetic Clinical Text: A Systematic Review Are synthetic clinical notes useful for real natural language processing tasks: A case study on clinical entity recognition

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.882810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.882810Z digest=sha256:669cad3d31f52c503900e3b94599adb94829d16fe2b167818d4cb64e80e5e8c3

Observation 4614c50d-66ae-4c44-9418-fd856179a5f9 · outbound

This paper cites Cardinal, Angus Roberts, Robert Stewart, and Sumithra Velupillai.

Generation of Synthetic Clinical Text: A Systematic Review Cardinal, Angus Roberts, Robert Stewart, and Sumithra Velupillai

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.887497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.887497Z digest=sha256:041f840166d9b0e82e56c6f405c592dfac45d5c773476223c5ae4ecf042ab856

Observation f0f91c3d-0719-4532-bd91-aefbb3b231f3 · outbound

This paper cites Generative adversarial networks for creating synthetic free-text medical data: A proposal for collaborative research and re-use of machine learning models, May 2021.

Generation of Synthetic Clinical Text: A Systematic Review Generative adversarial networks for creating synthetic free-text medical data: A proposal for collaborative research and re-use of machine learning models, May 2021

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.892204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.892204Z digest=sha256:c33ce9a01152c7c691e3e8128fa2301e4aa044cee78c59917c40770a0034fee4

Observation 671ad3ac-7b9d-446d-8cc8-e480cbea1d31 · outbound

This paper cites an unresolved cited work.

Generation of Synthetic Clinical Text: A Systematic Review Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.897588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.897588Z digest=sha256:8bc6848e59dfa9e32eac431a3ef2a63694d367f3103de2be9456c62f08ea6a6f

Observation 8ecb9402-42ff-41eb-acea-a43e87df407c · outbound

This paper cites Transforming health- care documentation: harnessing the potential of ai to generate discharge summaries.

Generation of Synthetic Clinical Text: A Systematic Review Transforming health- care documentation: harnessing the potential of ai to generate discharge summaries

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.902456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.902456Z digest=sha256:ecaf62d9615fc5caece920b50d7a3ef36d3f90a8e9476343d4f940827190dd69

Observation 3b7ef28c-7ccc-41dc-9fd3-98bffe276cab · outbound

This paper cites Transformer models trained on mimic-iii to generate synthetic patient notes, 2020.

Generation of Synthetic Clinical Text: A Systematic Review Transformer models trained on mimic-iii to generate synthetic patient notes, 2020

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.907135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.907135Z digest=sha256:3ac6f7a37111e16504ccb84030032c12e419af9f6d16fed3d0a624047d2d14ae

Observation 5bdda60a-efc6-4987-83b8-9a03028cb69d · outbound

This paper cites Identifying and aligning medical claims made on social media with medical evidence, 2024.

Generation of Synthetic Clinical Text: A Systematic Review Identifying and aligning medical claims made on social media with medical evidence, 2024

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.912111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.912111Z digest=sha256:48ed2fcbf07d0653191063de569e6bf6e738a501906d36ae6e7eae93ec701db9

Observation 5bf287a7-e04b-4fec-b1f3-1e52cc2a5a45 · outbound

This paper cites Medically aware gpt-3 as a data generator for medical dialogue summarization, 2021.

Generation of Synthetic Clinical Text: A Systematic Review Medically aware gpt-3 as a data generator for medical dialogue summarization, 2021

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.916896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.916896Z digest=sha256:68a09e2162d19051323c58cb973cc55ddd8e4b00e8288a63359f598699710d35

Observation 0ed8f018-c9a4-4c89-b88c-14b8ad4a21c4 · outbound

This paper cites Generaci´ on masiva de historias cl ´ ınicas sint´ eticas con chatgpt: un ejemplo en fractura de cadera.

Generation of Synthetic Clinical Text: A Systematic Review Generaci´ on masiva de historias cl ´ ınicas sint´ eticas con chatgpt: un ejemplo en fractura de cadera

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.921499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.921499Z digest=sha256:ee1f90d7e82518f5c94021015b4656d2bc14626b5ff9a7ff1aa62b0683473991

Observation d8fab73d-2fd5-4084-827c-b34dffab0c83 · outbound

This paper cites Constructing synthetic datasets with generative artificial intelligence to train large language models to classify acute renal failure from clinical notes.

Generation of Synthetic Clinical Text: A Systematic Review Constructing synthetic datasets with generative artificial intelligence to train large language models to classify acute renal failure from clinical notes

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.926346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.926346Z digest=sha256:7aa3062b25015a04813961c0fe4fe235771dfc8387fea6e9694a7de5ece6e6c7

Observation fc0a26cb-67f1-41f1-bdbb-4d8047aca6e2 · outbound

This paper cites How to use language models for synthetic text generation in cerebrovascular disease-specific medical reports.

Generation of Synthetic Clinical Text: A Systematic Review How to use language models for synthetic text generation in cerebrovascular disease-specific medical reports

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.931279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.931279Z digest=sha256:e48220cd34ffbb1434c56b725ef915c64197231b496dd9a4822bd0ebba321e57

Observation a4f4b7c5-1373-40f3-9c3d-ce9bc3487a19 · outbound

This paper cites Smit h, Nima PourNejatian, Anthony B.

Generation of Synthetic Clinical Text: A Systematic Review Smit h, Nima PourNejatian, Anthony B

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.936376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.936376Z digest=sha256:7dd8d976971618cdd36ba5acc196ffc9e703027fec1eb2f1c63f536837025245

Observation f5a3a4d5-b0ea-47bd-bd6b-a2d0591e037b · outbound

This paper cites an unresolved cited work.

Generation of Synthetic Clinical Text: A Systematic Review Unresolved cited work

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.941348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.941348Z digest=sha256:4a7fad18f67345072c03967a554511c91adb25a0c999f550bfe5d5c33b06e334

Observation da9411e3-a3cb-4e43-ad3e-2fb905ab51cd · outbound

This paper cites Towards automatic generation of shareable syn- thetic clinical notes using neural language models.

Generation of Synthetic Clinical Text: A Systematic Review Towards automatic generation of shareable syn- thetic clinical notes using neural language models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.948472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.948472Z digest=sha256:a843c6380ab0cd60568bc134c18c56afcf53098ad0d9854e1293cc19d9ce3553

Observation 0523f173-d769-4dc7-9155-a8e03a03d1e9 · outbound

This paper cites Differentially private medical texts generation using generative neural networks.

Generation of Synthetic Clinical Text: A Systematic Review Differentially private medical texts generation using generative neural networks

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.953553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.953553Z digest=sha256:442b9a66865c439e37c9e2107ac8dc34287020a6cbc3321c5d5e9e4ed7cce070

Observation 572b7671-821f-47c4-87fc-4b9d756eb47d · outbound

This paper cites an unresolved cited work.

Generation of Synthetic Clinical Text: A Systematic Review Unresolved cited work

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.958795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.958795Z digest=sha256:0c6c3f1d1bb57df430c85396e32beec1188e1e8bca0ec530b3a0b903408a5c00

Observation 78607ccb-74ee-4ba1-8782-5ceac736b3d8 · outbound

This paper cites Knowledge-infused prompting: Assessing and advancing clinical text data generation with large language models.

Generation of Synthetic Clinical Text: A Systematic Review Knowledge-infused prompting: Assessing and advancing clinical text data generation with large language models

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.963384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.963384Z digest=sha256:6a54033b385c4d13036ef3b5bb61eb69dbdaae8d203b96f26b8c4826d4beeda8

Observation 580e3406-6cb5-45bd-a270-689e7fd31f3c · outbound

This paper cites Generation and eval- uation of synthetic endoscopy free-text reports with differential privacy.

Generation of Synthetic Clinical Text: A Systematic Review Generation and eval- uation of synthetic endoscopy free-text reports with differential privacy

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.968433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.968433Z digest=sha256:61ed10ece1a495c6fc694e0fa31556343343d95bc0eeb9e608802c4a9605b628

Observation 36c20d1c-2e40-43e1-9338-f547dacb15ce · outbound

This paper cites Generating synthetic documents with clinical keywords: A privacy-sensitive methodology.

Generation of Synthetic Clinical Text: A Systematic Review Generating synthetic documents with clinical keywords: A privacy-sensitive methodology

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.973411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.973411Z digest=sha256:13ac9669e343c2a04258d45cc23533635f59a3a7d16ead9c9e6c796a2717870d

Observation 183a92a3-ac1b-40a8-a905-66933faf1c7c · outbound

This paper cites SynthNotes: A gen- erator framework for high-volume, high-fidelity synthetic mental health notes.

Generation of Synthetic Clinical Text: A Systematic Review SynthNotes: A gen- erator framework for high-volume, high-fidelity synthetic mental health notes

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.978211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.978211Z digest=sha256:dd5d419f133c82916661c0089084fc0843076e570138c15999943caa1c76b45f

Observation 4a899321-67fa-4ff6-8f3c-695ed6a7e0f5 · outbound

This paper cites Aci-bench: a novel ambient clinical intelligence dataset for benchmarking automatic visit note generation.

Generation of Synthetic Clinical Text: A Systematic Review Aci-bench: a novel ambient clinical intelligence dataset for benchmarking automatic visit note generation

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.983052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.983052Z digest=sha256:f372427f5a6445e897b27df65409618545289294279c8ee34b0debc89a66be61

Observation 9e4102e1-5cb6-46af-a6b1-221fc892df97 · outbound

This paper cites An empirical study of clinical note generation from doctor-patient encounters.

Generation of Synthetic Clinical Text: A Systematic Review An empirical study of clinical note generation from doctor-patient encounters

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.988055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.988055Z digest=sha256:31283fc39d7d7264d77be525133c4da1430c9649601d69624b62dfc83253c5e8

Observation c8578f97-e768-4064-a9f7-9bb7ab56a3ef · outbound

This paper cites Feng, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, and Eduard Hovy.

Generation of Synthetic Clinical Text: A Systematic Review Feng, Vivek Khetan, Bogdan Sacaleanu, Anatole Gershman, and Eduard Hovy

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.992920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.992920Z digest=sha256:4de716c80bc4597f0d97c161f01a951d06d73d416b42ce2cf88844489c2fd926

Observation f1041557-275f-4dcf-b319-be5d818137df · outbound

This paper cites Synth-sbdh: A synthetic dataset of social and behavioral determinants of health for clinical text, 2024.

Generation of Synthetic Clinical Text: A Systematic Review Synth-sbdh: A synthetic dataset of social and behavioral determinants of health for clinical text, 2024

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:30.997618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:30.997618Z digest=sha256:f3cb8367690bc1fa707b87ea480480e0f471188943e3bf146f3500b6c5cd4ff2

Observation 289fa193-0ce1-4d23-8e4e-defe90ee91db · outbound

This paper cites Ehr-ds-qa: A synthetic qa dataset derived from medical dis- charge summaries for enhanced medical information retrieval systems, 2024.

Generation of Synthetic Clinical Text: A Systematic Review Ehr-ds-qa: A synthetic qa dataset derived from medical dis- charge summaries for enhanced medical information retrieval systems, 2024

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.002319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.002319Z digest=sha256:b4372b60d401f4a8e534b2f0d9ab2df3455636e72a1706567d07b7f01b548e31

Observation 487df10e-9337-4899-9d1b-dc86eff44ce1 · outbound

This paper cites coherent data set.

Generation of Synthetic Clinical Text: A Systematic Review coherent data set

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.007128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.007128Z digest=sha256:ac800ed97dd339b345bef1719f2f3aaf7171fbc6d69bd7299952036dd56e9299

Observation 07faffad-11ff-478d-9dce-4fa76156b17f · outbound

This paper cites Generating continuous representations of medical texts, 2018.

Generation of Synthetic Clinical Text: A Systematic Review Generating continuous representations of medical texts, 2018

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.011855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.011855Z digest=sha256:d16d401539fc211085b011118924f4bb32762b10c1598cefb8b4d3aa0b5f0262

Observation fc1a53f8-13bb-45d2-bfca-323e62b76ab3 · outbound

This paper cites On the automatic generation of medical imaging reports.

Generation of Synthetic Clinical Text: A Systematic Review On the automatic generation of medical imaging reports

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.016634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.016634Z digest=sha256:e4b4d25529a7e1556161fb61489b7fe408d4b034588bb6b46c04f1e4b048479f

Observation 5f4d66a7-e6c6-4bfa-8608-526052a9a39e · outbound

This paper cites an unresolved cited work.

Generation of Synthetic Clinical Text: A Systematic Review Unresolved cited work

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.021191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.021191Z digest=sha256:17fbb7ca5f13eaa8b2f3ffe421aef15c0181c3961e497cad6612f9a0fb666834

Observation f08c3666-d845-409e-9aa4-2c819abf3af8 · outbound

This paper cites Vision-language model for generating textual descriptions from clinical images: Model development and validation study.

Generation of Synthetic Clinical Text: A Systematic Review Vision-language model for generating textual descriptions from clinical images: Model development and validation study

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.025869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.025869Z digest=sha256:891e40d92f88399593cc0af741fd202946d41806e9482e3194dc900e835c93ce

Observation 0fd7a63a-3d94-4511-a51e-d499b3d7a200 · outbound

This paper cites Generation of natural-language textual summaries from longitudinal clinical records.

Generation of Synthetic Clinical Text: A Systematic Review Generation of natural-language textual summaries from longitudinal clinical records

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.030797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.030797Z digest=sha256:fafdd7379a3870b34f3651ffeac115b012aa7b9c514cdb1eddf2ce181cc18ed4

Observation d3fd15a8-cd26-4226-b6cb-eb31ca5b0957 · outbound

This paper cites Enhancing clinical note gener- ation from doctor-patient conversations through semantic partition-oriented summarization.

Generation of Synthetic Clinical Text: A Systematic Review Enhancing clinical note gener- ation from doctor-patient conversations through semantic partition-oriented summarization

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.035582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.035582Z digest=sha256:5b106a6341679e36066ed21cd5acd4c6e8507af6d71cba3c23617e4fcd9e78e9

Observation ac8a725c-866a-40f8-a94f-92171d4e56a9 · outbound

This paper cites Enhancing clinical documentation with synthetic data: Leveraging generative models for improved accuracy.

Generation of Synthetic Clinical Text: A Systematic Review Enhancing clinical documentation with synthetic data: Leveraging generative models for improved accuracy

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.040377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.040377Z digest=sha256:c7ccd0e6de2913936e835127d8107175249cb747f2ee211a46a0a865349bb966

Observation b32051fb-0f8b-4811-95e7-690b3fd990de · outbound

This paper cites Medt2t: An adaptive pointer constrain generating method for a new medical text-to-table task.

Generation of Synthetic Clinical Text: A Systematic Review Medt2t: An adaptive pointer constrain generating method for a new medical text-to-table task

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.045307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.045307Z digest=sha256:01279379448ea9ac5de373de6fbba342cba9ef2265e2debb0155c0ffab94c436

Observation 16adb5f5-8c8e-497b-914c-6abed3dc5af9 · outbound

This paper cites Li, Xiaodan Liang, Zhiting Hu, and Eric P.

Generation of Synthetic Clinical Text: A Systematic Review Li, Xiaodan Liang, Zhiting Hu, and Eric P

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.050202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.050202Z digest=sha256:725158ce301b1a1de2d3d871ce782c5b4011e39e77d7d9dafb0d6af440b913fa

Observation bb07b303-e924-40dd-9445-7c367c9e6b20 · outbound

This paper cites Implementation of gpt models for text generation in healthcare domain.

Generation of Synthetic Clinical Text: A Systematic Review Implementation of gpt models for text generation in healthcare domain

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.055615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.055615Z digest=sha256:8ad3ccbcbd3d6071b79b2d66059c9a48211402c7616fd202177b94ede00c62f2

Observation cafda8f0-411f-4e99-a2e5-ecaa98e1685e · outbound

This paper cites Papie˙ z, and Mohammad Yaqub.

Generation of Synthetic Clinical Text: A Systematic Review Papie˙ z, and Mohammad Yaqub

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.060697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.060697Z digest=sha256:f40e29aaa6229b2a8491443c2e74d68199a6af36b0829a68a80c83688bec510b

Observation 4cd9fb38-0b91-4c1a-b09a-4991bfa242ac · outbound

This paper cites Set to ordered text: Generating discharge instruc- tions from medical billing codes.

Generation of Synthetic Clinical Text: A Systematic Review Set to ordered text: Generating discharge instruc- tions from medical billing codes

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.065534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.065534Z digest=sha256:542c4182d77c50d4611c5b030b3a46a203965f93ccf1fc315ecdef2c5c02352e

Observation 50a72a04-8b4b-4036-ae49-f9aa2854fabd · outbound

This paper cites Visual-textual attentive semantic consistency for medical report generation.

Generation of Synthetic Clinical Text: A Systematic Review Visual-textual attentive semantic consistency for medical report generation

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.070596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.070596Z digest=sha256:014847c9ebfb6012e113ba048554d19f331b4da83429912c34218ef019503a6e

Observation 78a4bb0f-e498-407e-8d72-0ba5976349ac · outbound

This paper cites an unresolved cited work.

Generation of Synthetic Clinical Text: A Systematic Review Unresolved cited work

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.075538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.075538Z digest=sha256:79066263a8b8defcaad98bf7cd948c89122333f914411e828d0b90c5280c41c0

Observation ae2554f4-9af9-4718-9dcc-2283270fa899 · outbound

This paper cites Medical scientific table-to-text generation with human-in-the-loop under the data spar- sity constraint, 2022.

Generation of Synthetic Clinical Text: A Systematic Review Medical scientific table-to-text generation with human-in-the-loop under the data spar- sity constraint, 2022

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.080734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.080734Z digest=sha256:9fce698edb381d127d0721e96cc803502b715492a68f1037f0f50692b6ec7bcb

Observation e637885d-6732-43af-a5c4-4b159552bcd1 · outbound

This paper cites Neural text generation in regulatory medical writing.

Generation of Synthetic Clinical Text: A Systematic Review Neural text generation in regulatory medical writing

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.085768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.085768Z digest=sha256:195f2b3ef3769320595d0eccdd067f873b3a4745f717d165b69b78e3ac2ba4e3

Observation 2552a00b-3b22-4a2a-b5b9-1172713b74d1 · outbound

This paper cites Prott3: Protein-to-text generation for text-based protein understanding, 2024.

Generation of Synthetic Clinical Text: A Systematic Review Prott3: Protein-to-text generation for text-based protein understanding, 2024

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.091222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.091222Z digest=sha256:704a320f1471d4f9b36048856d05ae5d26734ca8c2693aadf354949ad2b3c94d

Observation c0b6dbc7-ad86-4f98-af34-1e28017faeaa · outbound

This paper cites Multi- modal understanding and generation for medical images and text via vision-language pre- training.

Generation of Synthetic Clinical Text: A Systematic Review Multi- modal understanding and generation for medical images and text via vision-language pre- training

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.096136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.096136Z digest=sha256:9bb7a6459d3aef03fbae66006167824a5edf24f9371301660693253515e64e3c

Observation 3fac732a-e687-4f0d-aecd-cf8a5fb90b94 · outbound

This paper cites Medm2g: Unifying medical multi-modal generation via cross-guided diffusion with visual invariant, 2024.

Generation of Synthetic Clinical Text: A Systematic Review Medm2g: Unifying medical multi-modal generation via cross-guided diffusion with visual invariant, 2024

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.101154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.101154Z digest=sha256:ddcbd89175280b6b014f363c7f173196fde5cad3b8b2cc796744b9f86ad05409

Observation 4ede19be-a626-4ea1-9bfb-33e5fc67d88b · outbound

This paper cites Improving radiology report generation quality and diversity through reinforcement learning and text augmentation.

Generation of Synthetic Clinical Text: A Systematic Review Improving radiology report generation quality and diversity through reinforcement learning and text augmentation

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.106254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.106254Z digest=sha256:65da1208d981c203e95958c629af79ebbff61fc306bc219a94535ea0342136c9

Observation bb9964ce-19de-4f50-bfdb-3448c89d6242 · outbound

This paper cites Generat- ing explanations in medical question-answering by expectation maximization inference over evidence, 2023.

Generation of Synthetic Clinical Text: A Systematic Review Generat- ing explanations in medical question-answering by expectation maximization inference over evidence, 2023

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.115692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.115692Z digest=sha256:b126f31aa0710343f3b68ec9ea3b3da5b43c19e4b58507721a1ca39ba6b83b73

Observation 667c2f87-6055-4236-be7d-55deda05e90c · outbound

This paper cites an unresolved cited work.

Generation of Synthetic Clinical Text: A Systematic Review Unresolved cited work

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.121478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.121478Z digest=sha256:6ed00c44b34572932ee9eef6a431d7874ed4c0058b727a6055327704e3a4662f

Observation 3ca07ada-e6ce-4dec-99c4-2c53e7a691e8 · outbound

This paper cites A dictionary-based oversampling approach to clinical document classification on small and imbalanced dataset.

Generation of Synthetic Clinical Text: A Systematic Review A dictionary-based oversampling approach to clinical document classification on small and imbalanced dataset

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.126968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.126968Z digest=sha256:f39f669aec49224c9277d00c6f74a3be6fe6d27636df48b84a4347d294afbbb4

Observation c33266e8-1d7d-4390-b022-8512cde749b8 · outbound

This paper cites A simple data augmentation method to im- prove the performance of named entity recognition models in medical domain.

Generation of Synthetic Clinical Text: A Systematic Review A simple data augmentation method to im- prove the performance of named entity recognition models in medical domain

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.131642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.131642Z digest=sha256:72d4560cdde3858579d7f68da3ba73f5c8097c619a42535c4b767ab04c538fc2

Observation 745ee4ee-db82-446b-9ae6-f51bd549c55f · outbound

This paper cites An exploratory study on pseudo-data generation in prescription and adverse drug reaction extraction, August 2019.

Generation of Synthetic Clinical Text: A Systematic Review An exploratory study on pseudo-data generation in prescription and adverse drug reaction extraction, August 2019

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.136436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.136436Z digest=sha256:4eec85f303c63e8719a60c2c892031e490d140f58c27eaa2d08dae8a90f055a9

Observation f73f50ab-4d21-43a8-abd4-72db698529e9 · outbound

This paper cites An NLP-inspired data augmen- tation method for adverse event prediction using an imbalanced healthcare dataset.

Generation of Synthetic Clinical Text: A Systematic Review An NLP-inspired data augmen- tation method for adverse event prediction using an imbalanced healthcare dataset

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.141002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.141002Z digest=sha256:444af8b489c71618bd075fcd36c181b0e1865379a4606b08586f22764db56106

Observation 86efcf94-0fbb-485f-9c58-0fa5cebe3d65 · outbound

This paper cites Exploring transformer text generation for medical dataset augmentation.

Generation of Synthetic Clinical Text: A Systematic Review Exploring transformer text generation for medical dataset augmentation

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.146238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.146238Z digest=sha256:97bae79eae0feed7d9a57631f23d568df07287b825a39d65b73f71be439a2fb4

Observation ed1280e1-1cc0-42df-aac1-0c4cbf822bb5 · outbound

This paper cites Substituting clinical features using synthetic medical phrases: Medical text data augmenta- tion techniques.

Generation of Synthetic Clinical Text: A Systematic Review Substituting clinical features using synthetic medical phrases: Medical text data augmenta- tion techniques

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.151334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.151334Z digest=sha256:362896d5f32ca51d12b39be77e60c3ef8fba00707fe88de696ccffc452e7ef92

Observation 82339234-d943-43cb-a825-01c0ae425166 · outbound

This paper cites Textual data augmentation for patient out- comes prediction.

Generation of Synthetic Clinical Text: A Systematic Review Textual data augmentation for patient out- comes prediction

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.156277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.156277Z digest=sha256:da108f962579f929508e9abb04fda1d6c37ced06a40a978061cb0d4fdb7d5235

Observation ad7dafc8-83de-4993-a9fa-f5c4eb10339a · outbound

This paper cites UMLS-based data augmentation for natural language processing of clinical research literature.

Generation of Synthetic Clinical Text: A Systematic Review UMLS-based data augmentation for natural language processing of clinical research literature

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.160962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.160962Z digest=sha256:56fc75ad17197b2db45a40af98b011b0ab44422f078f805d7108e17fdbea1fcd

Observation 68ce64d2-8152-467c-bcf6-ddaade501058 · outbound

This paper cites Evaluation and analysis of large language models for clinical text augmentation and generation.

Generation of Synthetic Clinical Text: A Systematic Review Evaluation and analysis of large language models for clinical text augmentation and generation

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.166573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.166573Z digest=sha256:721d44ee8b6938b1f47791f266142b1b5aa4e4d1350b653425d35c19d0cf79be

Observation f3711b1f-08f8-49e5-9d64-fa274fb987c1 · outbound

This paper cites A new generative model for textual descriptions of medical images using transformers enhanced with convolutional neural networks.

Generation of Synthetic Clinical Text: A Systematic Review A new generative model for textual descriptions of medical images using transformers enhanced with convolutional neural networks

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-06T14:35:31.177300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:35:31.177300Z digest=sha256:762f4cfa1af98f22dee8d9e0b3448bcc27d53ec451f7ac73cb85f428d2e94c57

Pith citing papers

Observation 19ebfd15-689d-4780-8bec-e990201938af · inbound

Generating High Quality Synthetic Data for Dutch Medical Conversations cites this paper.

Generating High Quality Synthetic Data for Dutch Medical Conversations Generation of Synthetic Clinical Text: A Systematic Review

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:38:23.275883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T00:35:51.109921Z digest=sha256:527450c2e79c27cfd68837c9b983bd3560e8de9b676f2fe493b1eb0fcabba973

Observation 8b298ea1-2e05-4b27-b52b-f6c5692e3a35 · inbound

Systematic Evaluation of the Quality of Synthetic Clinical Notes Rephrased by LLMs at Million-Note Scale cites this paper.

Systematic Evaluation of the Quality of Synthetic Clinical Notes Rephrased by LLMs at Million-Note Scale Generation of Synthetic Clinical Text: A Systematic Review

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:48:15.137437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T11:44:58.613981Z digest=sha256:a3c53c0fadef246e8293c8ae9a74babf2736320762cf80d3c829fa597251d6e4

Observation 0002b0ae-e4e5-4bf3-b715-4ab5a980b54a · inbound

Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies cites this paper.

Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies Generation of Synthetic Clinical Text: A Systematic Review

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T19:41:10.816907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:41:10.816907Z digest=sha256:2d8ded14b97bc8d28e40d8f937562a3fc9e014aa58255dd431226b4bdbcd6c81