ArticleAnnals of surgery2019
Computer Vision Analysis of Intraoperative Video: Automated Recognition of Operative Steps in Laparoscopic Sleeve Gastrectomy.
Article in Annals of surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers, 12 of them syntheses that pooled it.
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Who cites it
130 citing papers in PubMed, 12 syntheses or guidelines pooled it.
- The Evolution of Bariatric and Metabolic Surgery in the Artificial Intelligence Era: A Comprehensive Systematic Review of Current Applications and Clinical Implications.Obesity surgery · 2026Pooled it
- Artificial intelligence augmented tutoring vs expert instruction on learning simulated general surgical skills: a systematic review and meta-analysis.BMC medical education · 2026Pooled it
- Artificial intelligence in the operating room: A systematic review of AI models for surgical phase, instruments and anatomical structure identification.Acta obstetricia et gynecologica Scandinavica · 2025Pooled it
- Learning curve of minimally invasive complete mesocolic excision for right-sided colon cancer: a systematic review.Surgical endoscopy · 2025Pooled it
- Deep learning in neurosurgery: a systematic literature review with a structured analysis of applications across subspecialties.Frontiers in neurology · 2025Pooled it
- Overview of the Last 71 Years of Metabolic and Bariatric Surgery: Content Analysis and Meta-analysis to Investigate the Topic and Scientific Evolution.Obesity surgery · 2024Pooled it
- A systematic review of annotation for surgical process model analysis in minimally invasive surgery based on video.Surgical endoscopy · 2023Pooled it
- The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature.Sensors (Basel, Switzerland) · 2022Pooled it
- Performance assessment using sensor technology.Journal of surgical oncology · 2021Pooled it
- Deep learning visual analysis in laparoscopic surgery: a systematic review and diagnostic test accuracy meta-analysis.Surgical endoscopy · 2021Pooled it
- [New techniques and training methods for robot-assisted surgery and cost-benefit analysis of Ivor Lewis esophagectomy].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2021Pooled it
- Pooled it
- Proprietary platform artificial intelligence-based segmentation of surgical videos facilitates review and rating of operative recordings.Surgical endoscopy · 2026Article
- AI-based assessment of surgical efficiency and exposure quality in laparoscopic distal gastrectomy using a phase recognition model.Surgical endoscopy · 2026Article
- Agreement and precision of an AI-based measurement tool during robotic-assisted sleeve gastrectomy.Surgical endoscopy · 2026Article
- Artificial intelligence-based model for identifying anatomical and surgical structures in the videos of laparoscopic left hemicolectomy.Journal of robotic surgery · 2026Article
- End to end AI system for surgical gesture sequence recognition and clinical outcome prediction.NPJ digital medicine · 2026Article
- Article
- Artificial Intelligence-Assisted Surgical Scene Recognition: A Comparative Study Among Health Care Professionals.Annals of surgery · 2026Article
- Development, application and evaluation of an artificial intelligence (AI)-based platform (SurgSmart) for the automatic assessment of the critical view of safety (CVS) in laparoscopic cholecystectomy (LC).Surgical endoscopy · 2026Article
70 more citing papers are in PubMed but not listed here.
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Authors and funding
9 authors.
Funding
Abstract
OBJECTIVE(S): To develop and assess AI algorithms to identify operative steps in laparoscopic sleeve gastrectomy (LSG).
backgroundComputer vision, a form of artificial intelligence (AI), allows for quantitative analysis of video by computers for identification of objects and patterns, such as in autonomous driving.
methodsIntraoperative video from LSG from an academic institution was annotated by 2 fellowship-trained, board-certified bariatric surgeons. Videos were segmented into the following steps: 1) port placement, 2) liver retraction, 3) liver biopsy, 4) gastrocolic ligament dissection, 5) stapling of the stomach, 6) bagging specimen, and 7) final inspection of staple line. Deep neural networks were used to analyze videos. Accuracy of operative step identification by the AI was determined by comparing to surgeon annotations.
resultsEighty-eight cases of LSG were analyzed. A random 70% sample of these clips was used to train the AI and 30% to test the AI's performance. Mean concordance correlation coefficient for human annotators was 0.862, suggesting excellent agreement. Mean (±SD) accuracy of the AI in identifying operative steps in the test set was 82% ± 4% with a maximum of 85.6%.
conclusionsAI can extract quantitative surgical data from video with 85.6% accuracy. This suggests operative video could be used as a quantitative data source for research in intraoperative clinical decision support, risk prediction, or outcomes studies.
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