ArticleScientific data2023
Cholec80-CVS: An open dataset with an evaluation of Strasberg's critical view of safety for AI.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Computer vision augmented indocyanine green near-infrared fluorescence (ICG-NIRF) signal-to-background ratio (SBR) for identification of extrahepatic biliary structures in laparoscopic cholecystectomy.Surgical endoscopy · 2026Article
- Artificial Intelligence for Automated Recognition of Hepatocystic Anatomy During Laparoscopic Cholecystectomy: Current Evidence, Clinical Readiness, and Future Directions.Medicina (Kaunas, Lithuania) · 2026Review
- Applications of Reinforcement Learning for Autonomous Surgical Robotics: A Systematic Review.Biomimetics (Basel, Switzerland) · 2026Review
- CVS assessment via distillation-based self-supervised and multiple instance learning in laparoscopic cholecystectomy.International journal of computer assisted radiology and surgery · 2026Article
- Sum-of-Checks: structured reasoning for surgical safety with large vision-language models.International journal of computer assisted radiology and surgery · 2026Article
- A High-Quality Endoscopic Image Dataset with Annotated Recurrent Laryngeal Nerve for AI-Assisted Thyroid Surgery.Scientific data · 2026Article
- ROBUST-MIPS: A Combined Skeletal Pose and Instance Segmentation Dataset for Laparoscopic Surgical Instruments.Scientific data · 2026Article
- Large-scale self-supervised video foundation model for intelligent surgery.NPJ digital medicine · 2026Article
- Article
- Surgical video-based temporal action analysis algorithm and competency assessment in laparoscopic cholecystectomy: development and exploratory evaluation.Surgical endoscopy · 2026Article
- Prompt injection attacks on vision-language models for surgical decision support.npj digital surgery · 2026Article
- Anticipating critical view of safety challenges in laparoscopic cholecystectomy for symptomatic cholelithiasis patients: Can we predict them earlier?Turkish journal of surgery · 2025Article
- CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery.Scientific data · 2025Article
- Automated surgical action recognition and competency assessment in laparoscopic cholecystectomy: a proof-of-concept study.Surgical endoscopy · 2025Article
- Automated assessment of simulated laparoscopic surgical skill performance using deep learning.Scientific reports · 2025Article
- LapEx: A new multimodal dataset for context recognition and practice assessment in laparoscopic surgery.Scientific data · 2025Article
- Endoscapes, a critical view of safety and surgical scene segmentation dataset for laparoscopic cholecystectomy.Scientific data · 2025Article
- Kidney Endoscopy Video to Preoperative CT Alignment for Depth Estimation.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- Vision techniques for anatomical structures in laparoscopic surgery: a comprehensive review.Frontiers in surgery · 2025Review
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Strasberg's criteria to detect a critical view of safety is a widely known strategy to reduce bile duct injuries during laparoscopic cholecystectomy. In spite of its popularity and efficiency, recent studies have shown that human miss-identification errors have led to important bile duct injuries occurrence rates. Developing tools based on artificial intelligence that facilitate the identification of a critical view of safety in cholecystectomy surgeries can potentially minimize the risk of such injuries. With this goal in mind, we present Cholec80-CVS, the first open dataset with video annotations of Strasberg's Critical View of Safety (CVS) criteria. Our dataset contains CVS criteria annotations provided by skilled surgeons for all videos in the well-known Cholec80 open video dataset. We consider that Cholec80-CVS is the first step towards the creation of intelligent systems that can assist humans during laparoscopic cholecystectomy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.