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Paper Citation Record · LEDGER

Current validation practice undermines surgical AI development

As of 4 August 2026, this Paper Citation Record lists 100 of 122 outbound references and 0 inbound Pith citation observations for arXiv:2511.03769.

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

pith.paper-citation-record.v1
2511.03769 v3

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measured 100 of 122 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-03T23:55:25.440811Z

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100 of 122 outbound references displayed

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Outbound references

Observation e9a1a26d-bfa4-489f-86ab-cd3230732550 · outbound

This paper cites Surgical tool classification in laparoscopic videos using convolutional neural network.Current Directions in Biomedical Engineering, 4(1):407–410, 2018.

Current validation practice undermines surgical AI development Surgical tool classification in laparoscopic videos using convolutional neural network.Current Directions in Biomedical Engineering, 4(1):407–410, 2018

Reference 1

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Observation 58bc5514-bdab-49ce-969f-420d6b0aabe3 · outbound

This paper cites Wavemamba: Spatial-spectral wavelet mamba for hyperspectral image classification.IEEE Geoscience and Remote Sensing Letters, 2024.

Current validation practice undermines surgical AI development Wavemamba: Spatial-spectral wavelet mamba for hyperspectral image classification.IEEE Geoscience and Remote Sensing Letters, 2024

Reference 2

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Observation 087ba4de-eca0-4448-b2db-fa6800867737 · outbound

This paper cites The sages critical view of safety challenge: A global benchmark for ai-assisted surgical quality assessment.arXiv preprint arXiv:2509.17100, 2025.

Current validation practice undermines surgical AI development The sages critical view of safety challenge: A global benchmark for ai-assisted surgical quality assessment.arXiv preprint arXiv:2509.17100, 2025

Reference 3

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Observation 0769d4a9-3f77-4b56-84d7-5afe629f1c10 · outbound

This paper cites Aggregating long-term context for learning laparoscopic and robot-assisted surgical workflows, 2021.

Current validation practice undermines surgical AI development Aggregating long-term context for learning laparoscopic and robot-assisted surgical workflows, 2021

Reference 4

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Observation 51241ead-1571-4725-89d6-8d0d8d859d9a · outbound

This paper cites Bias in radiology artificial intelligence: causes, evaluation and mitigation, 2024.

Current validation practice undermines surgical AI development Bias in radiology artificial intelligence: causes, evaluation and mitigation, 2024

Reference 5

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Observation 3dd2ce70-afa0-4d67-946c-2ec849d431ba · outbound

This paper cites Placental vessel segmentation and registration in fetoscopy: literature review and miccai fetreg2021 challenge findings.Medical Image Analysis, 92: 103066, 2024.

Current validation practice undermines surgical AI development Placental vessel segmentation and registration in fetoscopy: literature review and miccai fetreg2021 challenge findings.Medical Image Analysis, 92: 103066, 2024

Reference 6

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Observation ddd430d4-5106-4846-9d59-4b28bd0b8f36 · outbound

This paper cites Impact of data on generalization of ai for surgical intelligence applications.Scientific reports, 10(1):22208, 2020.

Current validation practice undermines surgical AI development Impact of data on generalization of ai for surgical intelligence applications.Scientific reports, 10(1):22208, 2020

Reference 7

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Observation 399b661e-ecfe-4dc2-ae38-1c8d222d92ef · outbound

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Current validation practice undermines surgical AI development Unresolved cited work

Reference 8

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Observation 0dcb3309-8201-4412-a5e0-bd1057a6d042 · outbound

This paper cites A probabilistic approach to surgical tasks and skill metrics.IEEE Transactions on Biomedical Engineering, 69(7):2212–2219, 2021.

Current validation practice undermines surgical AI development A probabilistic approach to surgical tasks and skill metrics.IEEE Transactions on Biomedical Engineering, 69(7):2212–2219, 2021

Reference 9

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Observation 5ccf73a9-8fef-4eb5-b57b-a936ed9417c3 · outbound

This paper cites Improving temporal stability and accuracy for endoscopic video tissue classification using recurrent neural networks.Sensors, 20(15):4133, 2020.

Current validation practice undermines surgical AI development Improving temporal stability and accuracy for endoscopic video tissue classification using recurrent neural networks.Sensors, 20(15):4133, 2020

Reference 10

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Observation ed767d32-291b-4c6d-881f-96f7ba4adc45 · outbound

This paper cites Frame-by-frame analysis of a commercially available artificial intelligence polyp detection system in full-length colonoscopies.Digestion, 103(5):378–385, 2022.

Current validation practice undermines surgical AI development Frame-by-frame analysis of a commercially available artificial intelligence polyp detection system in full-length colonoscopies.Digestion, 103(5):378–385, 2022

Reference 11

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Observation fa5f5262-7657-4d7b-b7a8-4a398720aaf8 · outbound

This paper cites Delphi process: a methodology used for the elicitation of opinions of experts.

Current validation practice undermines surgical AI development Delphi process: a methodology used for the elicitation of opinions of experts

Reference 12

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Observation 3028aebf-11d3-46d5-8706-c980c279916d · outbound

This paper cites Finding spurious correlations with function-semantic contrast analysis, 2023.

Current validation practice undermines surgical AI development Finding spurious correlations with function-semantic contrast analysis, 2023

Reference 13

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Observation 2d21cccf-2710-457a-a6aa-ec870f015bf4 · outbound

This paper cites Artificial intelligence for surgical scene understanding: A systematic review and reporting quality meta-analysis.medRxiv, pages 2025–07, 2025.

Current validation practice undermines surgical AI development Artificial intelligence for surgical scene understanding: A systematic review and reporting quality meta-analysis.medRxiv, pages 2025–07, 2025

Reference 14

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Observation 4edd839d-ecf9-412b-bada-797444a0e43e · outbound

This paper cites Surgt challenge: Benchmark of soft-tissue trackers for robotic surgery.Medical image analysis, 91:102985, 2024.

Current validation practice undermines surgical AI development Surgt challenge: Benchmark of soft-tissue trackers for robotic surgery.Medical image analysis, 91:102985, 2024

Reference 15

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Observation 882a9b23-9bba-41aa-8b23-8a13f23efa95 · outbound

This paper cites Causality matters in medical imaging.Nature Communications, 11(1): 3673, 2020.

Current validation practice undermines surgical AI development Causality matters in medical imaging.Nature Communications, 11(1): 3673, 2020

Reference 16

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Observation 102bf4f0-0ebd-41ae-9fa7-657c8ad51fc4 · outbound

This paper cites Automatic tissue segmentation of hyperspectral images in liver and head neck surgeries using machine learning.Artificial Intelligence Surgery, 1(1):22–37, 2021.

Current validation practice undermines surgical AI development Automatic tissue segmentation of hyperspectral images in liver and head neck surgeries using machine learning.Artificial Intelligence Surgery, 1(1):22–37, 2021

Reference 17

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Observation 63643a18-f37e-41f4-a782-94a9f97cc4ef · outbound

This paper cites Why deep surgical models fail?: Revisiting surgical action triplet recognition through the lens of robustness, 2023.

Current validation practice undermines surgical AI development Why deep surgical models fail?: Revisiting surgical action triplet recognition through the lens of robustness, 2023

Reference 18

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Observation 70c71c70-892c-4e84-976b-548e058bed1f · outbound

This paper cites Same data, opposite results?: A call to improve surgical database research.JAMA surgery, 156(3):219–220, 2021.

Current validation practice undermines surgical AI development Same data, opposite results?: A call to improve surgical database research.JAMA surgery, 156(3):219–220, 2021

Reference 19

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Observation 20384e01-94aa-401a-9543-efa648ebf1de · outbound

This paper cites Confidence intervals uncovered: Are we ready for real-world medical imaging ai?, 2024.

Current validation practice undermines surgical AI development Confidence intervals uncovered: Are we ready for real-world medical imaging ai?, 2024

Reference 20

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Observation 471f32f1-f2f3-4ef0-ae6a-c06ac6fa8577 · outbound

This paper cites False promises in medical imaging ai? assessing validity of outperformance claims, 2025.

Current validation practice undermines surgical AI development False promises in medical imaging ai? assessing validity of outperformance claims, 2025

Reference 21

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Observation 0b913caf-c409-45b0-9332-152efa4a9ae7 · outbound

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Current validation practice undermines surgical AI development Unresolved cited work

Reference 22

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Observation 54adcbb4-220d-4a77-9d7f-5bc8ebcabc28 · outbound

This paper cites Opera: Attention-regularized transformers for surgical phase recognition, 2021.

Current validation practice undermines surgical AI development Opera: Attention-regularized transformers for surgical phase recognition, 2021

Reference 23

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Observation 7e581166-9479-4925-985d-dff113676630 · outbound

This paper cites PhD thesis, Technische Universität München, 2023.

Current validation practice undermines surgical AI development PhD thesis, Technische Universität München, 2023

Reference 24

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Observation aad7e74f-0c90-46ba-9615-7406a96bfa95 · outbound

This paper cites Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification.

Current validation practice undermines surgical AI development Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification

Reference 25

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Observation 251ad6b1-73e8-40e5-bb1f-6b4b66daad84 · outbound

This paper cites Deep learning in surgical workflow analysis: a review of phase and step recognition.IEEE Journal of Biomedical and Health Informatics, 27(11):5405–5417, 2023.

Current validation practice undermines surgical AI development Deep learning in surgical workflow analysis: a review of phase and step recognition.IEEE Journal of Biomedical and Health Informatics, 27(11):5405–5417, 2023

Reference 26

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Observation 48c35f43-47dc-43b6-954b-017e1d2f62f2 · outbound

This paper cites Automatic data-driven real-time segmentation and recognition of surgical workflow.International journal of computer assisted radiology and surgery, 11(6):1081–1089, 2016.

Current validation practice undermines surgical AI development Automatic data-driven real-time segmentation and recognition of surgical workflow.International journal of computer assisted radiology and surgery, 11(6):1081–1089, 2016

Reference 27

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Observation 62c58438-f3bb-489e-ab85-f95c3d9eae10 · outbound

This paper cites Carts: Causality-driven robot tool segmentation from vision and kinematics data, 2022.

Current validation practice undermines surgical AI development Carts: Causality-driven robot tool segmentation from vision and kinematics data, 2022

Reference 28

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Observation 80b68905-4808-4ee3-b073-960b51f24cb1 · outbound

This paper cites Chapman and Hall/CRC, 1994.

Current validation practice undermines surgical AI development Chapman and Hall/CRC, 1994

Reference 29

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Observation 30e6645a-8669-42e9-80b4-b1cc38934e50 · outbound

This paper cites Improving surgical training phantoms by hyperrealism: deep unpaired image-to-image translation from real surgeries, 2018.

Current validation practice undermines surgical AI development Improving surgical training phantoms by hyperrealism: deep unpaired image-to-image translation from real surgeries, 2018

Reference 30

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Observation 132f2ebb-ce88-40fb-8a86-6f8364500528 · outbound

This paper cites Video-based surgical skill assessment using 3d convolutional neural networks.International journal of computer assisted radiology and surgery, 14(7):1217–1225, 2019.

Current validation practice undermines surgical AI development Video-based surgical skill assessment using 3d convolutional neural networks.International journal of computer assisted radiology and surgery, 14(7):1217–1225, 2019

Reference 31

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Observation 6ed6418f-0c7e-4f9b-abc3-7b7012c5e0ba · outbound

This paper cites Metrics Matter in Surgical Phase Recognition.

Current validation practice undermines surgical AI development Metrics Matter in Surgical Phase Recognition

Reference 32

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Observation fb73aa76-c4b8-4e3b-ab73-5840b27c8d1b · outbound

This paper cites Trans-svnet: Accurate phase recognition from surgical videos via hybrid embedding aggregation transformer, 2021.

Current validation practice undermines surgical AI development Trans-svnet: Accurate phase recognition from surgical videos via hybrid embedding aggregation transformer, 2021

Reference 33

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Observation bb603995-7672-4178-8e9d-0d6ef612695b · outbound

This paper cites Shortcut learning in deep neural networks.Nature Machine Intelligence, 2(11):665–673, 2020.

Current validation practice undermines surgical AI development Shortcut learning in deep neural networks.Nature Machine Intelligence, 2(11):665–673, 2020

Reference 34

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Observation 1e913c79-9f38-4911-b74d-7271afbb5014 · outbound

This paper cites Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection.

Current validation practice undermines surgical AI development Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection

Reference 35

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Observation 872fdf1d-d8d7-4cbe-af74-7ff89015b6f7 · outbound

This paper cites Jäger, and Lena Maier-Hein.

Current validation practice undermines surgical AI development Jäger, and Lena Maier-Hein

Reference 36

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Observation 922faf19-d258-4e0d-b19f-cff3f180afe1 · outbound

This paper cites Act-net: Anchor- context action detection in surgery videos, 2023.

Current validation practice undermines surgical AI development Act-net: Anchor- context action detection in surgery videos, 2023

Reference 37

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Observation 62dac795-7e86-4c66-ab0b-077f62b22887 · outbound

This paper cites Computer vision analysis of intraoperative video: automated recognition of operative steps in laparoscopic sleeve gastrectomy.Annals of surgery, 270(3):414–421, 2019.

Current validation practice undermines surgical AI development Computer vision analysis of intraoperative video: automated recognition of operative steps in laparoscopic sleeve gastrectomy.Annals of surgery, 270(3):414–421, 2019

Reference 38

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Observation 1db490c0-7cbd-4f29-9462-c84d3acf5731 · outbound

This paper cites A foundation for evaluating the surgical artificial intelligence literature.European Journal of Surgical Oncology, 50(12):108014, 2024.

Current validation practice undermines surgical AI development A foundation for evaluating the surgical artificial intelligence literature.European Journal of Surgical Oncology, 50(12):108014, 2024

Reference 39

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Observation 166f587d-3059-4d9d-95a8-17452c54c1a5 · outbound

This paper cites An empirical study on activity recognition in long surgical videos, 2022.

Current validation practice undermines surgical AI development An empirical study on activity recognition in long surgical videos, 2022

Reference 40

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source=pdf_text observed=2026-08-03T23:55:23.266036Z digest=sha256:aade589610d6c86cb292a7153758f6a67bb3bd438f477f73487858c3038bc456

Observation 884eaeb5-f979-421f-865d-0f07df95c416 · outbound

This paper cites Next-generation surgical navigation: Marker-less multi-view 6dof pose estimation of surgical instruments.Medical Image Analysis, page 103613, 2025.

Current validation practice undermines surgical AI development Next-generation surgical navigation: Marker-less multi-view 6dof pose estimation of surgical instruments.Medical Image Analysis, page 103613, 2025

Reference 41

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Observation 1392ec2c-fa61-4c02-87f3-0cd80209ec13 · outbound

This paper cites CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80.

Current validation practice undermines surgical AI development CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80

Reference 42

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Observation 6460cf5b-6742-42ef-97f6-6bbede4c8941 · outbound

This paper cites Peg transfer workflow recognition challenge report: Do multimodal data improve recognition?Computer Methods and Programs in Biomedicine, 236:107561, 2023.

Current validation practice undermines surgical AI development Peg transfer workflow recognition challenge report: Do multimodal data improve recognition?Computer Methods and Programs in Biomedicine, 236:107561, 2023

Reference 43

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source=pdf_text observed=2026-08-03T23:55:23.512282Z digest=sha256:cfe25e195d393d93d2b169498e32397e5bf52f1c2f016338f9ed4ca446e64962

Observation be421bf9-e16c-45d1-b03d-9e5bdb0d567e · outbound

This paper cites Global versus local kinematic skills assessment on robotic-assisted hysterectomies.IEEE Transactions on Medical Robotics and Bionics, 2024.

Current validation practice undermines surgical AI development Global versus local kinematic skills assessment on robotic-assisted hysterectomies.IEEE Transactions on Medical Robotics and Bionics, 2024

Reference 44

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source=pdf_text observed=2026-08-03T23:55:23.581555Z digest=sha256:2ccb0f1ad3cf35f4cf69d9f33eb8a7c6a8cc4015a46de0bd93e132dd0bdc8d53

Observation 761ee977-d871-4828-a734-7b08a1cbd2a4 · outbound

This paper cites Experts vs super-experts: differences in automated performance metrics and clinical outcomes for robot-assisted radical prostatectomy.BJU international, 123(5):861–868, 2019.

Current validation practice undermines surgical AI development Experts vs super-experts: differences in automated performance metrics and clinical outcomes for robot-assisted radical prostatectomy.BJU international, 123(5):861–868, 2019

Reference 45

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Observation c19fd044-c8ad-4aea-bbe6-87221c15dda0 · outbound

This paper cites Risk factors for bad splits during sagittal split ramus osteotomy: a retrospective study of 964 cases.British Journal of Oral and Maxillofacial Surgery, 59(6):678–682, 2021.

Current validation practice undermines surgical AI development Risk factors for bad splits during sagittal split ramus osteotomy: a retrospective study of 964 cases.British Journal of Oral and Maxillofacial Surgery, 59(6):678–682, 2021

Reference 46

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source=pdf_text observed=2026-08-03T23:55:23.750842Z digest=sha256:deb63c45692a8c5684debfa8367387a7d0e53631b8ba5a4ae4185b7c8ec51e97

Observation 115e873d-c41a-4d5f-8351-506c2268d716 · outbound

This paper cites Sv-rcnet: workflow recognition from surgical videos using recurrent convolutional network.IEEE transactions on medical imaging, 37(5): 1114–1126, 2017.

Current validation practice undermines surgical AI development Sv-rcnet: workflow recognition from surgical videos using recurrent convolutional network.IEEE transactions on medical imaging, 37(5): 1114–1126, 2017

Reference 47

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Observation 5e4c5fd5-0b2f-4b2a-8b62-0f3ce2f070d5 · outbound

This paper cites Temporal memory relation network for workflow recognition from surgical video.IEEE Transactions on Medical Imaging, 40(7):1911–1923, 2021.

Current validation practice undermines surgical AI development Temporal memory relation network for workflow recognition from surgical video.IEEE Transactions on Medical Imaging, 40(7):1911–1923, 2021

Reference 48

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Observation a5e2e9c1-acc6-48be-ae7d-a146843b57de · outbound

This paper cites Quality over quantity? the role of data quality and uncertainty for ai in surgery.Global Surgical Education-Journal of the Association for Surgical Education, 3(1):79, 2024.

Current validation practice undermines surgical AI development Quality over quantity? the role of data quality and uncertainty for ai in surgery.Global Surgical Education-Journal of the Association for Surgical Education, 3(1):79, 2024

Reference 49

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source=pdf_text observed=2026-08-03T23:55:23.902210Z digest=sha256:a126edc0cc4bced3239e68784ab9e915166a0f391eea4522a530539bad26e8d0

Observation e17d623c-6774-4cbd-aba4-49512558dfb2 · outbound

This paper cites Inter-observer variability of manual contour delineation of structures in ct.European radiology, 29(3):1391–1399, 2019.

Current validation practice undermines surgical AI development Inter-observer variability of manual contour delineation of structures in ct.European radiology, 29(3):1391–1399, 2019

Reference 50

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source=pdf_text observed=2026-08-03T23:55:24.010138Z digest=sha256:15de3db8f7c3434460ae2a35b8e12eb87daa821fedfb6bed89c4d1434c9360fc

Observation d18f6a52-52db-4cbf-87b1-3b775f3cb129 · outbound

This paper cites State-of-the-art of situation recognition systems for intraoperative procedures.Medical & Biological Engineering & Computing, 60(4):921–939, 2022.

Current validation practice undermines surgical AI development State-of-the-art of situation recognition systems for intraoperative procedures.Medical & Biological Engineering & Computing, 60(4):921–939, 2022

Reference 51

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Observation 2d8029d3-e14a-4cb7-b013-7e92b74cf08a · outbound

This paper cites an unresolved cited work.

Current validation practice undermines surgical AI development Unresolved cited work

Reference 52

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Observation 37e6c220-9bc0-4ef4-b1a8-4182e7d50da4 · outbound

This paper cites Federated cycling (fedcy): Semi-supervised federated learning of surgical phases.IEEE transactions on medical imaging, 42(7):1920–1931, 2022.

Current validation practice undermines surgical AI development Federated cycling (fedcy): Semi-supervised federated learning of surgical phases.IEEE transactions on medical imaging, 42(7):1920–1931, 2022

Reference 53

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source=pdf_text observed=2026-08-03T23:55:24.381407Z digest=sha256:1276848f24bfbf4750747d0f2b353c3069f78c25612480221e1b0c9e0c1ee1e8

Observation e384a0dc-6f08-40a0-9c87-08229b4c46c6 · outbound

This paper cites A new measure of rank correlation.Biometrika, 30(1-2):81–93, 1938.

Current validation practice undermines surgical AI development A new measure of rank correlation.Biometrika, 30(1-2):81–93, 1938

Reference 54

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Observation 459eb06d-d829-4916-ba63-ea88e91b3cb3 · outbound

This paper cites Artificial intelligence assisted operative anatomy recognition in endoscopic pituitary surgery.NPJ Digital Medicine, 7(1):314, 2024.

Current validation practice undermines surgical AI development Artificial intelligence assisted operative anatomy recognition in endoscopic pituitary surgery.NPJ Digital Medicine, 7(1):314, 2024

Reference 55

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source=pdf_text observed=2026-08-03T23:55:24.652471Z digest=sha256:b36e948c02c397370b22cef5b932f215fc163118c1f9f6b4da32aef935cf8a62

Observation a76f6504-82c3-4948-bbd0-0d1a5bf3b4f7 · outbound

This paper cites Physical imaging parameter variation drives domain shift.Scientific Reports, 12(1):21302, 2022.

Current validation practice undermines surgical AI development Physical imaging parameter variation drives domain shift.Scientific Reports, 12(1):21302, 2022

Reference 56

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source=pdf_text observed=2026-08-03T23:55:24.800154Z digest=sha256:efa66de4ae1a2c20dc351d3b0da27e38c934cac1cf08e66584b2ea780dbcbadd

Observation 9122a5df-90d0-450c-b4e7-0cd4b2049356 · outbound

This paper cites Pelphix: Surgical phase recognition from x-ray images in percutaneous pelvic fixation, 2023.

Current validation practice undermines surgical AI development Pelphix: Surgical phase recognition from x-ray images in percutaneous pelvic fixation, 2023

Reference 57

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source=pdf_text observed=2026-08-03T23:55:24.965517Z digest=sha256:6ac9009f15a6ce79dc952eaf40c5edb9ef37ca39d3b7b85a9f79ef32065c1d81

Observation 8e84272a-91b7-40cd-a3e7-cd780513ab1e · outbound

This paper cites Surgical phase recognition: From public datasets to real-world data.Applied Sciences, 12(17):8746, 2022.

Current validation practice undermines surgical AI development Surgical phase recognition: From public datasets to real-world data.Applied Sciences, 12(17):8746, 2022

Reference 58

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Observation c5b7b707-9486-4f72-a978-ca0010ccc842 · outbound

This paper cites A vision transformer for decoding surgeon activity from surgical videos.Nature biomedical engineering, 7(6):780–796, 2023.

Current validation practice undermines surgical AI development A vision transformer for decoding surgeon activity from surgical videos.Nature biomedical engineering, 7(6):780–796, 2023

Reference 59

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Observation d2d63621-7d87-48ab-9155-dfc8822a27b5 · outbound

This paper cites Susceptibility to Image Resolution in Face Recognition and Trainings Strategies.

Current validation practice undermines surgical AI development Susceptibility to Image Resolution in Face Recognition and Trainings Strategies

Reference 60

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Observation b2c5f749-0f1d-463e-95c4-827a604114d2 · outbound

This paper cites Adherence to the checklist for artificial intelligence in medical imaging (claim): an umbrella review with a comprehensive two-level analysis.Diagn Interv Radiol, 2025.

Current validation practice undermines surgical AI development Adherence to the checklist for artificial intelligence in medical imaging (claim): an umbrella review with a comprehensive two-level analysis.Diagn Interv Radiol, 2025

Reference 61

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Observation e0308f6f-82b7-4fcf-a2a6-4d1efa0606c5 · outbound

This paper cites Distribution shift detection for the postmarket surveillance of medical ai algorithms: a retrospective simulation study.NPJ Digital Medicine, 7(1):120, 2024.

Current validation practice undermines surgical AI development Distribution shift detection for the postmarket surveillance of medical ai algorithms: a retrospective simulation study.NPJ Digital Medicine, 7(1):120, 2024

Reference 62

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Observation c64b725e-20d5-4542-b871-cc6445a1ee63 · outbound

This paper cites an unresolved cited work.

Current validation practice undermines surgical AI development Unresolved cited work

Reference 63

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Observation a6ca0b98-bbb1-4b00-846b-ea636c2dc3b1 · outbound

This paper cites Anatomy segmentation in laparoscopic surgery: comparison of machine learning and human expertise–an experimental study.International Journal of Surgery, 109 (10):2962–2974, 2023.

Current validation practice undermines surgical AI development Anatomy segmentation in laparoscopic surgery: comparison of machine learning and human expertise–an experimental study.International Journal of Surgery, 109 (10):2962–2974, 2023

Reference 64

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Observation f77e8be4-c709-4757-9b24-225a5cad7715 · outbound

This paper cites an unresolved cited work.

Current validation practice undermines surgical AI development Unresolved cited work

Reference 65

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source=pdf_text observed=2026-08-03T23:55:25.354855Z digest=sha256:016ebbfae771ce2ffb0def40b92ecf6724c357a06e108ba51b8c8cbbb12e2500

Observation c87d47e7-a363-4381-9f87-2710c1710a04 · outbound

This paper cites Strategies to improve real-world applicability of laparoscopic anatomy segmentation models, 2024.

Current validation practice undermines surgical AI development Strategies to improve real-world applicability of laparoscopic anatomy segmentation models, 2024

Reference 66

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Observation 9b88a692-ab2a-4797-aca6-994cb2c942ca · outbound

This paper cites Appendix300: A multi-institutional laparoscopic appendectomy video dataset for computational modeling tasks.medRxiv, pages 2025–09, 2025.

Current validation practice undermines surgical AI development Appendix300: A multi-institutional laparoscopic appendectomy video dataset for computational modeling tasks.medRxiv, pages 2025–09, 2025

Reference 67

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Observation af68f292-7957-4639-9aff-42d0f1946fd5 · outbound

This paper cites an unresolved cited work.

Current validation practice undermines surgical AI development Unresolved cited work

Reference 68

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source=pdf_text observed=2026-08-03T23:55:25.361997Z digest=sha256:8a81f31106bcc83efc6338256926d5437e5d54010db8af76e468556bd11cf058

Observation d7437706-2f0e-48c6-8a55-e40e11dd39e2 · outbound

This paper cites Robust consistent video depth estimation, 2021.

Current validation practice undermines surgical AI development Robust consistent video depth estimation, 2021

Reference 69

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source=pdf_text observed=2026-08-03T23:55:25.364466Z digest=sha256:a9476bb6ef20587464c97475e9cb9dad98b80f71382cef50f922cd56e14393ea

Observation 7eebe060-b39f-4a47-85fd-64579ca8c45b · outbound

This paper cites Surgical phase and instrument recognition: how to identify appropriate dataset splits.International Journal of Computer Assisted Radiology and Surgery, 19(4):699–711, 2024.

Current validation practice undermines surgical AI development Surgical phase and instrument recognition: how to identify appropriate dataset splits.International Journal of Computer Assisted Radiology and Surgery, 19(4):699–711, 2024

Reference 70

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Observation b7c1b750-b94f-4fdc-b725-11670b8cdd54 · outbound

This paper cites an unresolved cited work.

Current validation practice undermines surgical AI development Unresolved cited work

Reference 71

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Observation f3f3fec7-7535-400f-a7a9-998e6ed3a4b2 · outbound

This paper cites Artificial intelligence in surgery: evolution, trends, and future directions.

Current validation practice undermines surgical AI development Artificial intelligence in surgery: evolution, trends, and future directions

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Observation 246f219c-33c6-46e9-a915-68112b4de7bb · outbound

This paper cites Skit: a fast key information video transformer for online surgical phase recognition, 2023.

Current validation practice undermines surgical AI development Skit: a fast key information video transformer for online surgical phase recognition, 2023

Reference 73

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source=pdf_text observed=2026-08-03T23:55:25.373819Z digest=sha256:1af5fe554ab4af79c178b005eaa10c04716e79e6af9e40e9d9206e7ba5ccd335

Observation 3d3e734c-945e-45e4-bd84-458600b7543c · outbound

This paper cites Artificial intelligence–enabled decision support in surgery: state-of-the-art and future directions.Annals of Surgery, 278(1):51–58, 2023.

Current validation practice undermines surgical AI development Artificial intelligence–enabled decision support in surgery: state-of-the-art and future directions.Annals of Surgery, 278(1):51–58, 2023

Reference 74

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source=pdf_text observed=2026-08-03T23:55:25.376504Z digest=sha256:61cc2c5e0fc2b3d2d9d2cf923d8499ee4bf7444f0c80c473f9099a5df89caf39

Observation 8f26c906-852e-4e2e-826c-78bc04147185 · outbound

This paper cites Impact of quality, type and volume of data used by deep learning models in the analysis of medical images.Informatics in Medicine Unlocked, 29:100911, 2022.

Current validation practice undermines surgical AI development Impact of quality, type and volume of data used by deep learning models in the analysis of medical images.Informatics in Medicine Unlocked, 29:100911, 2022

Reference 75

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source=pdf_text observed=2026-08-03T23:55:25.378937Z digest=sha256:bab9203d7d0a5183749a3797b174071db04d389ccfe4c98ef29ea59563e4739d

Observation dc2e7f5b-3e33-4ff8-9386-6009717d8a35 · outbound

This paper cites Hota: A higher order metric for evaluating multi-object tracking.International journal of computer vision, 129(2): 548–578, 2021.

Current validation practice undermines surgical AI development Hota: A higher order metric for evaluating multi-object tracking.International journal of computer vision, 129(2): 548–578, 2021

Reference 76

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source=pdf_text observed=2026-08-03T23:55:25.381632Z digest=sha256:4bcbf68ec1a1fe5653a0d068234a9a06303c28243d2c1936c33302732f5fbe37

Observation 80929f50-b67d-4a74-b3ce-ae6c861dc27b · outbound

This paper cites Artificial intelligence for intra- operative guidance: using semantic segmentation to identify surgical anatomy during laparoscopic cholecystectomy.

Current validation practice undermines surgical AI development Artificial intelligence for intra- operative guidance: using semantic segmentation to identify surgical anatomy during laparoscopic cholecystectomy

Reference 77

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source=pdf_text observed=2026-08-03T23:55:25.383925Z digest=sha256:d5dc8e0e4fa9019495f987feb7b1b09e6619cafb2125519ad28baa7b63db04f9

Observation 893d01a1-ca3a-4cdf-aeb4-9ce2b49c4c13 · outbound

This paper cites Detecting spurious correlations with sanity tests for artificial intelligence guided radiology systems.Frontiers in digital health, 3:671015, 2021.

Current validation practice undermines surgical AI development Detecting spurious correlations with sanity tests for artificial intelligence guided radiology systems.Frontiers in digital health, 3:671015, 2021

Reference 78

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source=pdf_text observed=2026-08-03T23:55:25.386733Z digest=sha256:3b453d8ee26153c2448004defb478bbbaee87d103b81fefa260bdba497279a2e

Observation b0ad208a-5591-4a2e-9cc9-e8a8e521b641 · outbound

This paper cites Surgical data science for next-generation interventions.Nature Biomedical Engineering, 1(9):691–696, 2017.

Current validation practice undermines surgical AI development Surgical data science for next-generation interventions.Nature Biomedical Engineering, 1(9):691–696, 2017

Reference 79

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source=pdf_text observed=2026-08-03T23:55:25.389353Z digest=sha256:adfd12b7b5d97b81e868616b07ed51c341c99baed144ef6242c40c1b871852c8

Observation 67de8642-9e8a-4e9b-852f-853e4a643809 · outbound

This paper cites Heidelberg colorectal data set for surgical data science in the sensor operating room.Scientific data, 8(1):101, 2021.

Current validation practice undermines surgical AI development Heidelberg colorectal data set for surgical data science in the sensor operating room.Scientific data, 8(1):101, 2021

Reference 80

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source=pdf_text observed=2026-08-03T23:55:25.391683Z digest=sha256:4329c79af8a4c0127505f9be84d5bbaec0cc852f3ef30f5a792da1260ed51d36

Observation 865d2f83-a13f-4de5-9a33-a99e9d605dc2 · outbound

This paper cites Metrics reloaded: recommendations for image analysis validation.Nature methods, 21(2):195–212, 2024.

Current validation practice undermines surgical AI development Metrics reloaded: recommendations for image analysis validation.Nature methods, 21(2):195–212, 2024

Reference 81

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source=pdf_text observed=2026-08-03T23:55:25.393712Z digest=sha256:6d5a05546a74eca9560ae1f75c0b882b865aaa0e6b89ab2df4c00d0965916f58

Observation 3d50dfa8-06f0-4f6b-9da6-6a95efb1a537 · outbound

This paper cites an unresolved cited work.

Current validation practice undermines surgical AI development Unresolved cited work

Reference 82

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source=pdf_text observed=2026-08-03T23:55:25.395946Z digest=sha256:817334c0c0c5fdca599318bc75b25c0accebdf4b67d7ba4d82cced16efd2eb6f

Observation 801bd23c-d565-48be-b969-987b778efccb · outbound

This paper cites m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural Networks.

Current validation practice undermines surgical AI development m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural Networks

Reference 83

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source=pdf_text observed=2026-08-03T23:55:25.398363Z digest=sha256:8975c3df9fedb0b47646b03cb678a93c799d8146d31c39c243796166b0fd9f37

Observation 3106de40-f98b-46ee-abe9-e821b3d4baa0 · outbound

This paper cites Appraising the quality of development and reporting in surgical prediction models.JAMA surgery, 158(2):214–216, 2023.

Current validation practice undermines surgical AI development Appraising the quality of development and reporting in surgical prediction models.JAMA surgery, 158(2):214–216, 2023

Reference 84

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source=pdf_text observed=2026-08-03T23:55:25.400985Z digest=sha256:521e4266ad68a115f5c306e7a56dad5319b1581139187c2140d7e393c6d877bf

Observation 3daf279a-ff5a-4a7a-a187-50dd9d80355b · outbound

This paper cites Multicentric validation of endodigest: a computer vision platform for video documentation of the critical view of safety in laparoscopic cholecystectomy.

Current validation practice undermines surgical AI development Multicentric validation of endodigest: a computer vision platform for video documentation of the critical view of safety in laparoscopic cholecystectomy

Reference 85

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source=pdf_text observed=2026-08-03T23:55:25.403194Z digest=sha256:2d8b98c94a34bed1a9e909a342eb88619a8e2758db890ebcba430d738d61d67f

Observation af9f66b8-1562-47e2-a081-2d5155119668 · outbound

This paper cites The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark.

Current validation practice undermines surgical AI development The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark

Reference 86

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source=pdf_text observed=2026-08-03T23:55:25.405382Z digest=sha256:90f97993b8a68a8a073606fc5fad4bcf2ca8e999bce9a10ee04b95eda3f0ed34

Observation c2f24477-e8a9-425a-8b98-95337d6e4873 · outbound

This paper cites Delphi methodology in healthcare research: how to decide its appropri- ateness.World journal of methodology, 11(4):116, 2021.

Current validation practice undermines surgical AI development Delphi methodology in healthcare research: how to decide its appropri- ateness.World journal of methodology, 11(4):116, 2021

Reference 87

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source=pdf_text observed=2026-08-03T23:55:25.408152Z digest=sha256:945605a1c2d53edfeca1e236628771ee09cc1b60dbb82c071d5c93f954073f9a

Observation 76a4509e-f2fd-4069-9a45-b2204e2d740b · outbound

This paper cites Systematic review finds “spin” practices and poor reporting standards in studies on machine learning-based prediction models.Journal of Clinical Epidemiology, 158:99–110, 2023.

Current validation practice undermines surgical AI development Systematic review finds “spin” practices and poor reporting standards in studies on machine learning-based prediction models.Journal of Clinical Epidemiology, 158:99–110, 2023

Reference 88

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source=pdf_text observed=2026-08-03T23:55:25.410839Z digest=sha256:bb1bda845798e07969d308f468320916755b2b1f7672c90ab1858ad14ad99d5f

Observation d413557e-dc1c-4706-bc0d-12bda248999e · outbound

This paper cites Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets.

Current validation practice undermines surgical AI development Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets

Reference 89

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source=pdf_text observed=2026-08-03T23:55:25.413084Z digest=sha256:1e5b9f90f63a7a6a5477747051fe449703b6cf665c8e054eaf720e400012aa30

Observation 7bc08eea-a995-4c10-9757-388ec53fc650 · outbound

This paper cites Surgitrack: Fine-grained multi-class multi-tool tracking in surgical videos.Medical Image Analysis, 101:103438, 2025.

Current validation practice undermines surgical AI development Surgitrack: Fine-grained multi-class multi-tool tracking in surgical videos.Medical Image Analysis, 101:103438, 2025

Reference 90

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source=pdf_text observed=2026-08-03T23:55:25.415610Z digest=sha256:09c69e58f79082dc559e5a210fb9a0e75c2c186218e5797c98e94f38dd5b1215

Observation 9f5a3449-6ab0-4125-9f6a-7bd21c3b11b7 · outbound

This paper cites Cholectriplet2021: A benchmark challenge for surgical action triplet recognition.Medical Image Analysis, 86:102803, 2023.

Current validation practice undermines surgical AI development Cholectriplet2021: A benchmark challenge for surgical action triplet recognition.Medical Image Analysis, 86:102803, 2023

Reference 91

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source=pdf_text observed=2026-08-03T23:55:25.417757Z digest=sha256:e8a7638edd4f32beb0c8564d99407ea84e27647f66a120d7094775e996ad9bc2

Observation 49fa842a-a205-4ac3-ab0c-af5bbae62cd6 · outbound

This paper cites CholecTrack20: A Multi-Perspective Tracking Dataset for Surgical Tools.

Current validation practice undermines surgical AI development CholecTrack20: A Multi-Perspective Tracking Dataset for Surgical Tools

Reference 92

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source=pdf_text observed=2026-08-03T23:55:25.420046Z digest=sha256:98ecc77c6d4a22080bdcc23b02464872579eeea065d443d84dfcfb5bd26c0d09

Observation 4b33077a-df14-4e52-86d4-31336fab50be · outbound

This paper cites A systematic review of annotation for surgical process model analysis in minimally invasive surgery based on video.Surgical endoscopy, 37(6):4298–4314, 2023.

Current validation practice undermines surgical AI development A systematic review of annotation for surgical process model analysis in minimally invasive surgery based on video.Surgical endoscopy, 37(6):4298–4314, 2023

Reference 93

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source=pdf_text observed=2026-08-03T23:55:25.422531Z digest=sha256:31a25d3e410faf844c5bd218886e40d0c95e2758da1ed04766eafe248922c57a

Observation 8a2a5f58-b520-4249-a2d9-4b89d716a0a4 · outbound

This paper cites A guide to annotation of neurosurgical intraoperative video for machine learning analysis and computer vision.World neurosurgery, 150:26–30, 2021.

Current validation practice undermines surgical AI development A guide to annotation of neurosurgical intraoperative video for machine learning analysis and computer vision.World neurosurgery, 150:26–30, 2021

Reference 94

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source=pdf_text observed=2026-08-03T23:55:25.425109Z digest=sha256:21a9fb9acaa10969b272fe02527646318f068a7119aef9634bfb0f1c53d87420

Observation b29f323f-0eb9-432e-8b04-53a2c260532b · outbound

This paper cites Cross-dataset adaptation for instrument classification in cataract surgery videos, 2023.

Current validation practice undermines surgical AI development Cross-dataset adaptation for instrument classification in cataract surgery videos, 2023

Reference 95

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source=pdf_text observed=2026-08-03T23:55:25.427794Z digest=sha256:1a306e5952e8c60c103042775a57fbda0730cba3126f55547505fdb7608d2814

Observation 875fc44b-afc1-4ecc-a96a-e2e4a8ba7f89 · outbound

This paper cites Reducing annotating load: Active learning with synthetic images in surgical instrument segmentation.

Current validation practice undermines surgical AI development Reducing annotating load: Active learning with synthetic images in surgical instrument segmentation

Reference 96

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source=pdf_text observed=2026-08-03T23:55:25.430163Z digest=sha256:293b7d2c42fe89918ba19697a4f0fb89e23ff16762d3a5918ebfee27358a92e2

Observation 2833e54c-a658-404a-9cf1-5e5a389431ca · outbound

This paper cites Labelling instructions matter in biomedical image analysis.Nature Machine Intelligence, 5(3):273–283, 2023.

Current validation practice undermines surgical AI development Labelling instructions matter in biomedical image analysis.Nature Machine Intelligence, 5(3):273–283, 2023

Reference 97

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source=pdf_text observed=2026-08-03T23:55:25.432865Z digest=sha256:c86cddecb642284181aa6ce0fbf60adf3bf522992a7d135ed7937622c4b80239

Observation ea3e01fd-965a-436e-af66-27a11f76d598 · outbound

This paper cites Dissecting self-supervised learning methods for surgical computer vision.Medical Image Analysis, 88:102844, 2023.

Current validation practice undermines surgical AI development Dissecting self-supervised learning methods for surgical computer vision.Medical Image Analysis, 88:102844, 2023

Reference 98

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source=pdf_text observed=2026-08-03T23:55:25.435404Z digest=sha256:f1294a02516e2e1f038056672af1ddfcb673b8928bdd40c1a7cdeb0fd5476b94

Observation f05f5ae5-0ba6-47b5-9f29-741329cb1ce2 · outbound

This paper cites Common Limitations of Image Processing Metrics: A Picture Story.

Current validation practice undermines surgical AI development Common Limitations of Image Processing Metrics: A Picture Story

Reference 99

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source=pdf_text observed=2026-08-03T23:55:25.437997Z digest=sha256:3e5c31d9b0a3f9c7e6fb7c71a88d8a6781803d5be840fc5bda3bfb003693f95c

Observation 61d3a2f7-5764-481f-8400-7627004ec9ae · outbound

This paper cites Understanding metric-related pitfalls in image analysis validation.Nature methods, 21(2):182–194, 2024.

Current validation practice undermines surgical AI development Understanding metric-related pitfalls in image analysis validation.Nature methods, 21(2):182–194, 2024

Reference 100

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source=pdf_text observed=2026-08-03T23:55:25.440811Z digest=sha256:513794c0ff657553b5e37115c5d2a171a2703a2525524513d99fee35487eaa4c

Pith citing papers

No inbound Pith citation observations are available.