Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI | Paper Citation Record

Observation 65b91c13-a6f5-46ea-aba4-1869d9f6ba08 · outbound

This paper cites Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks

Reference 1

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Observation 280b488c-fd8d-487b-9ffa-85a235bc249e · outbound

This paper cites Bottom-up and top-down attention for image captioning and visual question answering.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Bottom-up and top-down attention for image captioning and visual question answering

Reference 2

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This paper cites Croma: Cross-modal attention for visual question answering in robotic surgery.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Croma: Cross-modal attention for visual question answering in robotic surgery

Reference 3

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This paper cites Vivit: A video vision transformer.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Vivit: A video vision transformer

Reference 4

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This paper cites Video-based coaching in surgical education: a systematic review and meta-analysis.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Video-based coaching in surgical education: a systematic review and meta-analysis

Reference 5

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Observation 603f2386-1211-4df2-b3dd-0cd525f62106 · outbound

This paper cites M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

Reference 6

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Observation 6914d4e4-bb35-4512-aaaa-0345ebd44a15 · outbound

This paper cites Space-time attention networks for video understanding.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Space-time attention networks for video understanding

Reference 7

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Observation c6600e4a-58ef-4a81-9729-6d828ffecccb · outbound

This paper cites Language models are few-shot learners.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Language models are few-shot learners

Reference 8

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Observation 87b33889-2b43-46fe-be96-4dbfdc430a75 · outbound

This paper cites Cholect50: A dataset for surgical video understanding, 2020.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Cholect50: A dataset for surgical video understanding, 2020

Reference 9

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Observation a32d99c5-1b30-4ab5-b1a5-ff6614355c87 · outbound

This paper cites Unmasking deception: a topic-oriented multimodal approach to uncover false information on social media.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Unmasking deception: a topic-oriented multimodal approach to uncover false information on social media

Reference 10

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Observation 06637a61-a7e7-4ab1-b454-4217e529dcd1 · outbound

This paper cites Harnessing prompt- based large language models for disaster monitoring and automated reporting from social media feedback.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Harnessing prompt- based large language models for disaster monitoring and automated reporting from social media feedback

Reference 11

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Observation 39b92217-b8ee-4594-b58d-ed878c367b21 · outbound

This paper cites Surgical video captioning with mutual-modal concept alignment.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Surgical video captioning with mutual-modal concept alignment

Reference 12

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Observation ded858a9-602a-4671-877b-82ee7d967e02 · outbound

This paper cites Vision language models in medicine.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Vision language models in medicine

Reference 13

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Observation 93f429a1-a0c4-44f9-bfc0-ba361da86f91 · outbound

This paper cites Meshed-memory transformer for image captioning.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Meshed-memory transformer for image captioning

Reference 14

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Observation d8d9dc8d-ba59-44dc-b943-e148c86a717b · outbound

This paper cites Attribution-noncommercial-sharealike 4.0 international (cc by-nc-sa 4.0).

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Attribution-noncommercial-sharealike 4.0 international (cc by-nc-sa 4.0)

Reference 15

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Observation 56de2812-4295-4153-9b2a-c6e09463dc48 · outbound

This paper cites Class-balanced loss based on effective number of samples.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Class-balanced loss based on effective number of samples

Reference 16

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Observation 194f44f0-0ef8-430b-aea0-ab09b47168ac · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 17

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Observation 621034ec-7d7a-4a42-9e82-aab2b673014d · outbound

This paper cites Surgical video analysis: an emerging tool for improving surgeon performance, 2015.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Surgical video analysis: an emerging tool for improving surgeon performance, 2015

Reference 18

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Observation f30f51f4-3509-40ea-85c8-9be32a31300a · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 20

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Observation 33f7feff-207a-4e92-9c5b-053e6c498d97 · outbound

This paper cites VideoOrion: Tokenizing Object Dynamics in Videos.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI VideoOrion: Tokenizing Object Dynamics in Videos

Reference 21

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This paper cites Image-text surgery: Efficient concept learning in image captioning by generating pseudopairs.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Image-text surgery: Efficient concept learning in image captioning by generating pseudopairs

Reference 22

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Observation bc4e316c-c4f0-4553-95c9-6d6039c5bad7 · outbound

This paper cites Using surgical video to improve technique and skill.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Using surgical video to improve technique and skill

Reference 23

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Observation 76f39dcb-1c49-4e43-83c0-b8b096c61cf7 · outbound

This paper cites Weinberger.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Weinberger

Reference 24

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This paper cites Hashimoto, Guy Rosman, Daniela Rus, and Ozanan R.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Hashimoto, Guy Rosman, Daniela Rus, and Ozanan R

Reference 25

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This paper cites Deep residual learning for image recognition.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Deep residual learning for image recognition

Reference 26

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This paper cites What do we need to build explainable AI systems for the medical domain?.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI What do we need to build explainable AI systems for the medical domain?

Reference 27

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This paper cites Advancing medical imaging with language models: featuring a spotlight on chatgpt.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Advancing medical imaging with language models: featuring a spotlight on chatgpt

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:42.480347Z

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This paper cites Exploring video captioning techniques: A comprehensive survey on deep learning methods.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Exploring video captioning techniques: A comprehensive survey on deep learning methods

Reference 29

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Observation 1ab8b5de-f54d-4030-8a4f-742972c7a017 · outbound

This paper cites Multi-task recurrent convolutional network with correlation loss for surgical video analysis.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Multi-task recurrent convolutional network with correlation loss for surgical video analysis

Reference 30

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Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Unresolved cited work

Reference 31

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This paper cites Predicting decompression surgery by applying multimodal deep learning to patients’ structured and unstructured health data.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Predicting decompression surgery by applying multimodal deep learning to patients’ structured and unstructured health data

Reference 32

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This paper cites Stvs: Spatio-temporal feature fusion for video summarization.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Stvs: Spatio-temporal feature fusion for video summarization

Reference 33

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This paper cites Intraoperative video analysis and machine learning models will change the future of surgical training.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Intraoperative video analysis and machine learning models will change the future of surgical training

Reference 34

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This paper cites Video question-answering techniques, benchmark datasets and evaluation metrics leveraging video captioning: A comprehensive survey.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Video question-answering techniques, benchmark datasets and evaluation metrics leveraging video captioning: A comprehensive survey

Reference 35

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This paper cites Generating automatic surgical captions using a contrastive language-image pre-training model for nephrectomy surgery images.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Generating automatic surgical captions using a contrastive language-image pre-training model for nephrectomy surgery images

Reference 36

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This paper cites Unicoder-vl: A universal encoder for vision and language by cross-modal pre-training.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Unicoder-vl: A universal encoder for vision and language by cross-modal pre-training

Reference 37

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This paper cites Oscar: Object-semantics aligned pre-training for vision-language tasks.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Oscar: Object-semantics aligned pre-training for vision-language tasks

Reference 38

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This paper cites Rouge: A package for automatic evaluation of summaries.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Rouge: A package for automatic evaluation of summaries

Reference 39

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This paper cites Focal loss for dense object detection.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Focal loss for dense object detection

Reference 40

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This paper cites A survey on deep learning in medical image analysis.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI A survey on deep learning in medical image analysis

Reference 41

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This paper cites Video content analysis of surgical procedures.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Video content analysis of surgical procedures

Reference 42

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This paper cites ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

Reference 43

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This paper cites BioGPT: generative pre-trained transformer for biomedical text generation and mining.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI BioGPT: generative pre-trained transformer for biomedical text generation and mining

Reference 44

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This paper cites Surgical data science for next- generation interventions.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Surgical data science for next- generation interventions

Reference 45

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This paper cites Is online video-based education an effective method to teach basic surgical skills to students and surgical trainees? a systematic review and meta-analysis.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Is online video-based education an effective method to teach basic surgical skills to students and surgical trainees? a systematic review and meta-analysis

Reference 46

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Observation ebb80fc1-898e-4d06-9d57-2c6d1f0d20db · outbound

This paper cites Gpt-4 technical report, 2023.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Gpt-4 technical report, 2023

Reference 47

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This paper cites Training language models to follow instructions with human feedback.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Training language models to follow instructions with human feedback

Reference 48

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This paper cites Bleu: A method for automatic evaluation of machine translation.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Bleu: A method for automatic evaluation of machine translation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:44.281583Z

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Observation 6f62def6-996b-4313-afd1-14255631a386 · outbound

This paper cites Dense video captioning: A survey of techniques, datasets and evaluation protocols.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Dense video captioning: A survey of techniques, datasets and evaluation protocols

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:44.244441Z

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Observation e9597801-e764-448d-8094-729d3e9a4ed6 · outbound

This paper cites Language models are unsupervised multitask learners.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Language models are unsupervised multitask learners

Reference 51

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Observation a2d14e7b-3278-431b-b548-cfa2e625cae2 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:44.223163Z

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Observation a8db6b68-3d6a-441d-b31f-1f5e81d6c2ea · outbound

This paper cites Dl4burn: Burn surgical candidacy prediction using multimodal deep learning.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Dl4burn: Burn surgical candidacy prediction using multimodal deep learning

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:44.209756Z

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Observation 72a4f4ca-b025-429d-ae1f-59c2dc181554 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:43.025376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b1be94f-f1bf-43dc-9574-4cdb699098fb · outbound

This paper cites Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:44.168239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 00ee135e-a59f-423f-b686-cb6bf8cc72fe · outbound

This paper cites Evolution of visual data captioning methods, datasets, and evaluation metrics: A comprehensive survey.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Evolution of visual data captioning methods, datasets, and evaluation metrics: A comprehensive survey

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:44.091053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 080d5a68-750d-4eed-8abb-1f2fa956df12 · outbound

This paper cites Towards Expert-Level Medical Question Answering with Large Language Models.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Towards Expert-Level Medical Question Answering with Large Language Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:43.109468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b93d691c-fb74-4455-9ca1-f88d7ac64bf8 · outbound

This paper cites Automated radiology report generation: A review of recent advances.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Automated radiology report generation: A review of recent advances

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:44.077498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b121b26e-e170-4c4e-8181-0ab025da6cfc · outbound

This paper cites The role of large language models in medical image processing: a narrative review.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI The role of large language models in medical image processing: a narrative review

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:44.064101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a201b1c-71ab-45af-be40-162d8b6f8ebe · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Training data-efficient image transformers & distillation through attention

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:44.013534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dd672e10-d9ce-4a40-840c-77e56c8c2c97 · outbound

This paper cites On large visual language models for medical imaging analysis: An empirical study.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI On large visual language models for medical imaging analysis: An empirical study

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:43.125685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d3aafef-a6f4-489c-86ec-f0c9fa1398d6 · outbound

This paper cites Attention is all you need.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Attention is all you need

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:43.954375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 35513820-fcbf-4ea4-a480-08bee0340569 · outbound

This paper cites A novel multimodal deep learning model for preoperative prediction of microvascular invasion and outcome in hepatocellular carcinoma.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI A novel multimodal deep learning model for preoperative prediction of microvascular invasion and outcome in hepatocellular carcinoma

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:43.939261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 86232122-99d9-4ead-bb87-b5f9a2c435f1 · outbound

This paper cites EndoChat: Grounded Multimodal Large Language Model for Endoscopic Surgery.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI EndoChat: Grounded Multimodal Large Language Model for Endoscopic Surgery

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:43.205100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0757bc3e-862d-41ab-a634-bdf0b97c9697 · outbound

This paper cites ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:43.297751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3794ff53-9cc3-4163-814a-2a6337dfae74 · outbound

This paper cites Learning domain adaptation with model calibration for surgical report generation in robotic surgery.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Learning domain adaptation with model calibration for surgical report generation in robotic surgery

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:43.905987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2967e3a6-3463-43d7-a1e2-9fabf322452f · outbound

This paper cites Benchmarking Large Language Models for News Summarization.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Benchmarking Large Language Models for News Summarization

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T05:43:43.305442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c767ffd8-2e02-4c35-abda-429d62379f7f · outbound

This paper cites Weinberger, and Yoav Artzi.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Weinberger, and Yoav Artzi

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:43.784836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e0eda0c-4008-4bed-9363-b4aec77c412d · outbound

This paper cites Dilated temporal relational adversarial network for generic video summarization.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Dilated temporal relational adversarial network for generic video summarization

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:43.717687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f1238d6-d592-4abf-8762-97061ca11778 · outbound

This paper cites Dense video captioning using graph-based sentence summarization.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Dense video captioning using graph-based sentence summarization

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:43.704809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 897c983f-7c11-485f-a915-05066dc267e2 · outbound

This paper cites Surgical activity recognition in robot-assisted radical prostatectomy using deep learning.

Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI Surgical activity recognition in robot-assisted radical prostatectomy using deep learning

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:43:43.692625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Reference resolution

Outbound references

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