Clinical Trial

Research on Identifying Critical Surgical Anatomy in Cholecystectomy Videos Based on Deep Learning

Recruiting
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Record status
This record was last updated September 5, 2025 (before its estimated August 15, 2026 completion). Its status may not reflect the trial's current state.
Summary
Laparoscopic cholecystectomy is a common surgical procedure, but it carries the potential for bile duct injury and other surgical risks. To provide visual assistance to surgeons during surgery and mitigate these risks, this research project aims to develop a real-time object recognition algorithm based on deep learning technology. This algorithm will label key anatomical structures in laparoscopic cholecystectomy videos, providing surgeons with immediate information on dangerous and safe areas.
Trial Details
NCT Number NCT07158372
Lead Sponsor Chinese Academy of Sciences
Collaborators: The First Affiliated Hospital of Zhengzhou University, Capital Medical University, Beijing Anzhen Hospital, Shanghai East Hospital of Tongji University, Peking University People's Hospital
Conditions Cholecystectomy, Surgical Video Identification
Enrollment 200 participants
Start Date 2025-08-15
Primary Completion 2026-08-15 (estimated)
Study Completion 2028-08-15 (estimated)
Updated on ClinicalTrials.gov 2025-09-05