Paper Citation Record · LEDGER

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records

As of 15 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 1 inbound Pith citation observation for arXiv:2412.10955.

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

pith.paper-citation-record.v1
2412.10955 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

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measured 72 of 72 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:52:34.301240Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T18:52:35.329683Z

Reference resolution

71 of 71 outbound references displayed

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External citation measurements

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Outbound references

Observation 3303a738-f4ab-4b01-9576-f8ccc29e9001 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 1

Resolution: verified exact; doi, observed 2026-08-11T15:30:51.078186Z

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Observation 44ac8ae7-d35c-42fa-b48d-e6022ff7ad42 · outbound

This paper cites Nowakowska et al.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Nowakowska et al

Reference 2

Resolution: verified exact; doi, observed 2026-08-11T15:30:51.059206Z

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correction dated 2020-01-24. Source: crossref record 10.1186/s12916-020-1492-5->10.1186/s12916-019-1373-y:correction, observed 2026-07-11T03:09:15.526955+00:00. This notice travels one citation hop only.

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This paper cites (2007, June) The silent epidemic: An economic study of diabetes in developed and developing countries.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records (2007, June) The silent epidemic: An economic study of diabetes in developed and developing countries

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:30:52.697860Z

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Observation a97c7c69-e7bd-489e-ba3f-5a06885bfb49 · outbound

This paper cites Sun et al.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Sun et al

Reference 4

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Observation 3ae59216-bf36-4a2b-ad44-e810f9c9ddf2 · outbound

This paper cites (2023, Dec.) Getting diagnosed - Type 2 diabetes.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records (2023, Dec.) Getting diagnosed - Type 2 diabetes

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:30:52.680229Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6f2fd142-7fa9-4e1e-8224-dcae4e9487cc · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 6

Resolution: verified exact; doi, observed 2026-08-11T15:30:51.045014Z

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Observation 5e978134-e4b1-4a6f-9794-67f376d69a0b · outbound

This paper cites Bergman et al.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Bergman et al

Reference 7

Resolution: verified exact; doi, observed 2026-08-11T15:30:51.029631Z

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Observation 8a45ddc2-b2ac-462a-9e7a-c3a89c221573 · outbound

This paper cites (2024, Feb.) Risk factors for pre-diabetes and undiagnosed type 2 diabetes in England: 2013 to 2019.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records (2024, Feb.) Risk factors for pre-diabetes and undiagnosed type 2 diabetes in England: 2013 to 2019

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:30:52.666258Z

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Observation 4bbdc03c-c67f-4141-badf-9a88c81c23a8 · outbound

This paper cites (2021) IDF Diabetes Atlas 2021 – 10th edition.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records (2021) IDF Diabetes Atlas 2021 – 10th edition

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:30:52.651129Z

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Observation d2c635de-0dc5-4e09-957e-592939804849 · outbound

This paper cites Fregoso-Aparicio, J.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Fregoso-Aparicio, J

Reference 10

Resolution: verified exact; doi, observed 2026-08-11T15:30:51.014627Z

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Observation 624df33c-46a5-49c8-8857-8588e0625ea7 · outbound

This paper cites Tuppad and S.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Tuppad and S

Reference 11

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.998300Z

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Observation 6b6bec15-58a1-4900-956c-4f7b1d350729 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 12

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Observation d54503b6-1f83-43d8-81c0-1e4fcbd8c066 · outbound

This paper cites Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:30:52.381387Z

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This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 14

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Observation 14f1dcda-687a-42d6-a7fd-d96a1f55f980 · outbound

This paper cites Mohsen, H.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Mohsen, H

Reference 15

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.956224Z

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Observation 72bb8be3-1277-44fc-a465-125d89f3cf81 · outbound

This paper cites Tang et al.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Tang et al

Reference 16

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.939837Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d179c93d-7256-4c2b-942a-d1983e7e81f9 · outbound

This paper cites Y un et al.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Y un et al

Reference 17

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.920582Z

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Observation 9106d980-8e36-4990-9fce-60a074618bb4 · outbound

This paper cites Zhang et al., ‘‘Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images,’’Nat.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Zhang et al., ‘‘Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images,’’Nat

Reference 18

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.902452Z

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Observation 93722373-b334-4302-8022-821f06aa5983 · outbound

This paper cites (2023, May) Diagnostic Imag- ing Dataset Statistical Release.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records (2023, May) Diagnostic Imag- ing Dataset Statistical Release

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:30:52.636839Z

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Observation 8e9a8bda-84ab-496d-9302-4ca37f0b47c6 · outbound

This paper cites Pyrros et al., ‘‘Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs,’’Nat.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Pyrros et al., ‘‘Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs,’’Nat

Reference 20

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.882150Z

Source-reported events for the cited work

correction dated 2024-06-06. Source: crossref record 10.1038/s41467-024-49184-2->10.1038/s41467-023-39631-x:correction, observed 2026-07-11T02:59:48.127137+00:00. This notice travels one citation hop only.

Observation 005e18cc-6974-4e32-81d9-65d2f88e730c · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 21

Resolution: verified exact; raw_fallback, observed 2026-08-11T15:30:52.356817Z

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Observation 1d510af2-442f-4332-89f7-4c904f796626 · outbound

This paper cites Puttarajappa and A.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Puttarajappa and A

Reference 22

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.866875Z

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Observation b1b382f0-f66e-45fc-9b7f-d9ce367da0d7 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:30:52.619689Z

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Observation 3696f33f-a6d9-4cc4-9dba-615ec628765c · outbound

This paper cites Bertrand, A.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Bertrand, A

Reference 24

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.853005Z

Source-reported events for the cited work

correction dated 2025-01-29. Source: crossref record 10.1186/s12933-024-02563-x->10.1186/s12933-024-02465-y:correction, observed 2026-07-11T02:57:43.791614+00:00. This notice travels one citation hop only.

Observation 07b24a10-ddbf-442c-b6ab-65ec1a5deffa · outbound

This paper cites BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

Reference 25

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Source-reported events for the cited work

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Observation 5a290775-cc37-4fae-8a0e-a09f6a5a502a · outbound

This paper cites Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review

Reference 26

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Observation 15152ad7-89c1-4477-bc53-16d45c586592 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 27

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Unavailable: canonical work link unavailable.

Observation acd4baea-8091-41e3-a0c7-6d2d77851102 · outbound

This paper cites Harutyunyan, H.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Harutyunyan, H

Reference 28

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Observation 6d170f9f-a328-4b80-8d68-adc18afc5e87 · outbound

This paper cites Noble, R.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Noble, R

Reference 29

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.828471Z

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Observation c2ece711-31da-4e24-8b20-911df581f31f · outbound

This paper cites Zheng, W.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Zheng, W

Reference 30

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.812491Z

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Observation 8cbd26ec-fe88-477f-8ea3-49a4352db5b8 · outbound

This paper cites Maniruzzaman et al.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Maniruzzaman et al

Reference 31

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This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 32

Resolution: verified exact; raw_fallback, observed 2026-08-11T15:30:52.151179Z

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This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 33

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.788169Z

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Observation 855e55a7-4a3c-4653-a2a7-b8a57f1ca387 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 34

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.771975Z

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Observation 96a90702-0878-41f8-85a5-8cfe118beda2 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 35

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Observation eec60f66-35f1-4b83-8b82-6e12b7066f0d · outbound

This paper cites Naz and S.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Naz and S

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T15:30:50.255303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c4268ec-15b0-4926-881f-bb8ca736e5e9 · outbound

This paper cites Rahman, D.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Rahman, D

Reference 37

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T15:30:51.967460Z

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Observation b9336de2-6d15-48fe-b738-b48fbf6bc5df · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 38

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T15:30:51.874584Z

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Observation 6a2321f9-49fd-4af9-bc5e-f7042ea28894 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 39

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T15:30:51.757010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e259be88-427e-4a38-8388-134af7678aeb · outbound

This paper cites Alhassan, A.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Alhassan, A

Reference 40

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.741501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6e0ca10e-0462-4199-925d-9efb879ca829 · outbound

This paper cites SACDNet: Towards Early Type 2 Diabetes Prediction with Uncertainty for Electronic Health Records.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records SACDNet: Towards Early Type 2 Diabetes Prediction with Uncertainty for Electronic Health Records

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:30:51.583811Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5ccc06ee-e8cf-40c8-b230-1d6a73a2f062 · outbound

This paper cites Peddinti et al.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Peddinti et al

Reference 42

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.726566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 41719d52-453a-49fc-a7b8-b53bd315c9bc · outbound

This paper cites Su et al., ‘‘Ten metabolites-based algorithm predicts the future devel- opment of type 2 diabetes in Chinese,’’J.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Su et al., ‘‘Ten metabolites-based algorithm predicts the future devel- opment of type 2 diabetes in Chinese,’’J

Reference 43

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.710541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0ebeae88-0af7-41fa-9b12-3c0b19380769 · outbound

This paper cites Liu et al.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Liu et al

Reference 44

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.695685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b9e96c62-18a5-487d-a3f2-50e9eec95429 · outbound

This paper cites Ragab, A.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Ragab, A

Reference 45

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.679691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d632c1b7-b25d-4749-9ad8-c20f734b85ce · outbound

This paper cites Tallam, D.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Tallam, D

Reference 46

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.662943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7bbe73fd-b116-45b0-ab32-09bf475793f4 · outbound

This paper cites Poplin et al.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Poplin et al

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T15:30:50.308867Z

Source-reported events for the cited work

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Observation bb4aa9d1-41a1-450b-a3fc-cfac3a772b1c · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73cb3166-1677-4a0b-8d69-e162c2be19a6 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 49

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Unavailable: canonical work link unavailable.

Observation 47452d4e-b8c1-4dd4-b931-7650982cdff6 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 50

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.639822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6a46439a-06dc-4b12-88fa-1a2692c376ff · outbound

This paper cites V oigt et al., ‘‘Prevalence and Progression Rate of Diabetic Retinopa- thy in Type 2 Diabetes Patients in Correlation with the Duration of Diabetes,’’Exp.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records V oigt et al., ‘‘Prevalence and Progression Rate of Diabetic Retinopa- thy in Type 2 Diabetes Patients in Correlation with the Duration of Diabetes,’’Exp

Reference 51

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.622982Z

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Observation 632baa4c-5596-4675-88e2-3e124e89c77b · outbound

This paper cites Johnson, L.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Johnson, L

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T15:30:50.341058Z

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Observation 71aab784-1d1d-42f1-aa9d-3c9149929e06 · outbound

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Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T15:30:50.347982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 269f1d5f-d91d-4b51-b80c-559b87cb93ca · outbound

This paper cites Johnson et al.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Johnson et al

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Resolution: unresolved; no resolver link, observed 2026-08-11T15:30:50.353446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 982b9ba6-b496-423b-8ca4-a7fdd662a0d2 · outbound

This paper cites MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T15:30:50.359952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe23e4bb-9e15-46e9-bdb9-8ab4515edc0b · outbound

This paper cites Gow et al.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Gow et al

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Resolution: unresolved; no resolver link, observed 2026-08-11T15:30:50.366187Z

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Observation a19719aa-e67f-44d2-af03-002c720ca9a7 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T15:30:50.372648Z

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Unavailable: canonical work link unavailable.

Observation 22121261-6417-4304-9dee-360b600af632 · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 58

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.548323Z

Source-reported events for the cited work

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Observation baae8f24-f253-4528-989c-a691ddfda6bc · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 59

Resolution: verified exact; doi, observed 2026-08-11T15:30:50.531730Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6cbe212a-ab5c-42db-a4bd-891b42d44bca · outbound

This paper cites an unresolved cited work.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 60

Resolution: verified exact; raw_fallback, observed 2026-08-11T15:30:51.356747Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0f1ffbe1-ef3a-453e-9e03-0a6587cd0fda · outbound

This paper cites Y ang, Y.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Y ang, Y

Reference 61

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T15:30:51.237766Z

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Observation 28a1f3fd-66b0-4d94-9959-cc11ec971b85 · outbound

This paper cites (2019, July) Chest X-ray Quality.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records (2019, July) Chest X-ray Quality

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:30:52.603057Z

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Observation c72f0648-7783-4a27-b098-fde45147713f · outbound

This paper cites Hayat, K.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Hayat, K

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:30:52.585535Z

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Observation 0b64e0e6-faae-42ae-9436-d5c9def26424 · outbound

This paper cites (2021, Nov.) International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM).

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records (2021, Nov.) International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM)

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:30:52.564543Z

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Observation 8acec95e-c372-4232-ac8a-0bdc88cb1744 · outbound

This paper cites (2024, June) International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM).

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records (2024, June) International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM)

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:30:52.543021Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 514b1af6-2c03-44b3-931b-7458289ed5f8 · outbound

This paper cites Kligfield et al.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Kligfield et al

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Resolution: malformed identifier; doi_truncated, observed 2026-08-11T15:30:50.514388Z

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Observation dabc93e1-99f5-4693-a88a-1739d6d7c8ac · outbound

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Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:30:52.519912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c8f968c7-ef4d-4309-88ff-08468a5ff7bb · outbound

This paper cites Dosovitskiy et al.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Dosovitskiy et al

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:30:52.496570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7e6c0377-6cce-431b-aacf-314d626af2c6 · outbound

This paper cites Attention Is All You Need.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Attention Is All You Need

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T15:30:50.446479Z

Source-reported events for the cited work

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Observation a45a1d9c-4c18-4836-8aca-2c7d8a612041 · outbound

This paper cites An Eye on Clinical BERT: Investigating Language Model Generalization for Diabetic Eye Disease Phenotyping.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records An Eye on Clinical BERT: Investigating Language Model Generalization for Diabetic Eye Disease Phenotyping

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:30:51.104508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2c794588-1cac-479b-9ef3-fd6ae3cbd8c4 · outbound

This paper cites Zhou et al., ‘‘Understanding The Robustness in Vision Transformers,’’ in Proc.

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records Zhou et al., ‘‘Understanding The Robustness in Vision Transformers,’’ in Proc

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:30:52.479163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation 20d3c4ca-3fea-45fc-b2ec-e517ecd18df8 · inbound

MedTVT-R1: A Multimodal LLM Empowering Medical Reasoning and Diagnosis cites this paper.

MedTVT-R1: A Multimodal LLM Empowering Medical Reasoning and Diagnosis Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:52:35.338552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.