Actively Recruiting
Research on Identifying Critical Surgical Anatomy in Cholecystectomy Videos Based on Deep Learning
Led by Chinese Academy of Sciences · Updated on 2025-09-05
200
Participants Needed
5
Research Sites
156 weeks
Total Duration
On this page
Sponsors
C
Chinese Academy of Sciences
Lead Sponsor
T
The First Affiliated Hospital of Zhengzhou University
Collaborating Sponsor
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Research on Identifying Critical Surgical Anatomy in Cholecystectomy Videos Based on Deep Learning
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients aged 18 or above who are diagnosed by a doctor as needing laparoscopic cholecystectomy
You will not qualify if you...
- Patients who did not undergo surgery at the original hospital
- Patients whose laparoscopic cholecystectomy videos were blurry
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 5 locations
1
The First Affiliated Hospital of Zhengzhou University
Zhengzhou, Henan, China
Actively Recruiting
2
Beijing Anzhen Hospital, Capital Medical University
Beijing, China
Actively Recruiting
3
Beijing Luhe Hospital, Capital Medical University
Beijing, China
Actively Recruiting
4
Peking university people's hospital
Beijing, China
Actively Recruiting
5
Shanghai East Hospital of Tongji University
Shanghai, China
Actively Recruiting
Research Team
D
Di Dong, Ph.D
CONTACT
Q
Qian Liang, M.A.
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
4
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