Clinical Research Directory
Browse clinical research sites, groups, and studies.
Research on Identifying Critical Surgical Anatomy in Cholecystectomy Videos Based on Deep Learning
Sponsor: Chinese Academy of Sciences
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.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
200
Start Date
2025-08-15
Completion Date
2028-08-15
Last Updated
2025-09-05
Healthy Volunteers
No
Interventions
AI-assisted Intraoperative Anatomy Analysis
This is a prospective study on patients aged 18 years or more diagnosed with laparoscopic cholecystectomy. We will collect information such as laparoscopic cholecystectomy videos and procedure type, excluding patients who did not undergo surgery at the original hospital or whose videos were blurry.
Locations (5)
The First Affiliated Hospital of Zhengzhou University
Zhengzhou, Henan, China
Beijing Anzhen Hospital, Capital Medical University
Beijing, China
Beijing Luhe Hospital, Capital Medical University
Beijing, China
Peking university people's hospital
Beijing, China
Shanghai East Hospital of Tongji University
Shanghai, China