Article

Computer Vision-Based Retrieval of Steps and Errors in Laparoscopic Cholecystectomy

2026-01-16

Abstract excerpt

<h4>ABSTRACT</h4> Traditional surgical training relies heavily on hands-on experiences gained through relatively infrequent procedures during apprenticeships. Recently, postoperative review has become a valuable supplement to this model, offering learning opportunities outside the operating room. However, its adoption remains limited due to its inefficiencies. In this study, we developed a Computer Vision-based s...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: dcde20c7-9cef-5a03-89f4-9da00a73d151
DOI: 10.64898/2026.01.15.25343153

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Computer Vision-Based Retrieval of Steps and Errors in Laparoscopic CholecystectomyDOI 10.64898/2026.01.15.25343153Read

Protocol for the Development of Artificial Intelligence Models for the Reduction of Surgical Complications Based on Intraoperative Video - Surg_Cloud projectSemantic proximity Read

Deep learning-based recognition model for surgical phases of minimally invasive hysterectomy: A multicentre retrospective studySemantic proximity Read

Artificial Intelligence for Automated Recognition of Hepatocystic Anatomy During Laparoscopic Cholecystectomy: Current Evidence, Clinical Readiness, and Future DirectionsSemantic proximity Read

Surgical Instrument Recognition in Laparoscopic Cholecystectomy Using YOLOv8Semantic proximity Read

Artificial Intelligence in Emergency General Surgery: Current Clinical Applications and Future PerspectivesSemantic proximity Read

Applied Image Recognition for Identifying RiskFactors in OR Nursing PracticeSemantic proximity Read

AnnotX: An Edge-powered Laparoscopic Video Annotation PlatformSemantic proximity Read

Ensembles of temporal models and forward-backward smoothing for surgical phase recognitionSemantic proximity Read

Anatomy Segmentation in Laparoscopic Surgery: Comparison of Machine Learning and Human Expertise – An Experimental StudySemantic proximity Read

An Adaptive Foundation Model with Evidence-based Clinical Reasoning for GastroenterologySemantic proximity Read

A real-time spatiotemporal AI model analyzes skill in open surgical videosSemantic proximity Read

ChatGPT Goes to Operating Room: Evaluating GPT-4 Performance and Its Potential in Surgical Education and Training in the Era of Large Language ModelsSemantic proximity Read