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Paper Citation Record · LEDGER

Current validation practice undermines surgical AI development

As of 11 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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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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source=pdf_text observed=2026-08-03T23:55:23.218023Z digest=sha256:0d5a4e07076755a4a2dc41385ff8bc09ea467452d343f095870cad8c200dae4f

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:d4633e0b1ef34e19b295c2f68b7f2772c91998d770661b647fa8d86846757057

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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source=pdf_text observed=2026-08-03T23:55:23.434278Z digest=sha256:3a328553173f54e88da1060f7419f02faadb366c730aefef25ae7230ecabb6b0

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=sha256:29fc7e83676f5190f2965863c8316abf7e3adb24914d198bca76fe065b46b88c

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=sha256:12fa5fb97d09e0fca4725b4dc473bc4bc98808f9d1725af73daff4b6c7389ab1

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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source=pdf_text observed=2026-08-03T23:55:23.660494Z digest=sha256:848e6c5d2f0fd8e5257f97f8dd0ce8512ab82b05bcb549a851b42d09a1be1b57

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=sha256:4714b51f66dd853ba48943e5c7aa9183fdc49feb2a6b2668e86a8aed15b42d86

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:dcafa1c8e9ce36fef0651886330d8e5bb343ae21f7a1c809a2d1398c44a38749

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=sha256:203d6c1bb8e7c24c4d507e3d604b943d04a5771f67b1d828e17b590ef3dd7681

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:cebbf827e589c3be98bc7c820da6fb4094b0607061d0dd118e84b54db0a6c07e

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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source=pdf_text observed=2026-08-03T23:55:24.481546Z digest=sha256:48191e9d1e45c81b6eb23325dc8d5c4da518de299c79b7e03a0992099a4eb850

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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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=sha256:2595545fc37e08aa467fafbd41d251295c5af23f8030565fce69e24a14f40f44

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=sha256:8aa91e4d1d96852192f036867a0622615666a2120f6e4eb0e92ce88cd52321d3

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=sha256:5e39f85a09b7f6c41a2b4a9bf6f5ee768d707eb96ee90d93845dd78f0a301244

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=sha256:0f840eab84542f3211b3855d1f5ea1bd575ddc6e62e1d7f299aae483161fa6b2

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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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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source=pdf_text observed=2026-08-03T23:55:25.367041Z digest=sha256:147ef365f3c816ebf3f41a8d4fc806b716b831856bb0d8f68c017a685464c9f1

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

Reference 72

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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=sha256:5d5390514f8b3b3aad73f545053fafa2511651e8a889aa8175e90470ebaa8d44

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:b5ccbe077f73a3f21e56a340c13dc4fa0a77a669122c00ff14b6810a2eb7044a

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=sha256:0ffa01345fddf10cb3d9eb838ef1275ede7b81e1c4e3d704868f2ecd0812a927

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:c1b826aef1055251cd9add01ebe43e3637fedaf4b31c99337325c9da823f9661

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:fc7fab3cbb00f60b6f07afb4a12c19d40bee1d770c0129e7023ac0768575bb40

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=sha256:5d89952e1d4e86e90243fa5d79427924e766555c7b045dbee7f609b664dc8a5e

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:e72676a4864349fd44c4009e433452a24078434ffff1efa9cdf2eb773e885f3a

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=sha256:18c2bcdcb01361d973d1a5e49d6ba1d9ed9dcc0d2d96209621b9c6c7fafedebf

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=sha256:832281b01b12a68254f4a5940eaaeabb80a2393e62435fa0c6abe3ed6091b556

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:cfc6e7a498d3e9e03546f4a92becba62942a41b79d7c7ed6d8131ef3393e9470

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=sha256:0ee123e0f1a182bd5eec15b2736427ea893231af402457cd9636ca6fc1925132

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:b7eaaf71a1eea2cd2f5607d116cb34f2fba8ac5fd1690069dfad0043c66dd2ff

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=sha256:98c503db50adeecd4aba894620deeabf7c348f0ed6e2b33c943e5e1a5fc18ee5

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=sha256:1412fa58e9219226ee8ec6e601e96dceb65e8038da82d0ef949758ed95432053

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=sha256:64a3bfc7c7bde22405d5dda93e536d5b25ac4b63c1d89e498e917a5a3c01a8dc

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=sha256:0223339dc7460a4320e3f0af25cca0c31de98e813cebfcc1a5e57db268474c83

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=sha256:56eebd0b4156fdb7b2dfb976e771c610697582e91a52fb7508aa2382010a64c6

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=sha256:093c256df41125bdd9a8d719057b5eb78ef90ad55215416602d8ae1e3cffb981

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=sha256:75b7971575294bb96c855415c19315a2ec55646e572232e6bd753a51e0ebfd8a

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:dce7850c779aa87496f36dbc8730af05867979ec6cfd2c4cc62c0c492d4a3f4d

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=sha256:43d71b028d15abedaf5558acf6cc2a986b6bd53f9d671a8bfcd20911aec0a8b8

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:dd2584e6a342d7944c2f90d6480e9a590aca5a3c96aa5bffaca26099d12be954

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=sha256:2b40526bd65f94448c4ea79426779549e46e02b26f748486f422a686aa3032e7

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:a7d8495c45ea2abef0695d0ed468bde99452af809825177b11a4c83852803a60

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:b65f85a4609a52ade4032948bc1cedab7ecd70cf172104b22192c47eb61f0348

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:f89d8f278b28f7d1329dedfaacdc790eb89097616b86aadf31c952d309ed6635

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=sha256:4530277e9386aea52777fe5f9f5795a465b007d68fb818f9dd1b776b9f0968c2

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:c0f2d910bea84a83997cf6a2cd97b3a8968fbf8bb7caaf0295f903611e4b0508

Pith citing papers

No inbound Pith citation observations are available.