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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
104 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 surgery that carries risks such as bile duct injury. Researchers are developing a real-time object recognition algorithm using deep learning to assist surgeons during this procedure. The goal is to label key anatomical structures in surgical videos to help identify dangerous and safe areas, potentially improving surgical safety. The study collects laparoscopic cholecystectomy videos and details about the procedure from patients aged 18 and older who underwent surgery at the original hospital. Patients whose videos are blurry or who did not have surgery at the original hospital are excluded. This observational study focuses on analyzing these videos with AI-assisted intraoperative anatomy analysis. Participants provide their surgical videos and procedure information for analysis. Researchers will assess the accuracy of the AI algorithm using measures such as Dice Similarity Coefficient, Mean Intersection over Union, and Global Accuracy over a three-year period. The study also monitors inference latency to evaluate the algorithm's performance in real time. The research is sponsored by the Chinese Academy of Sciences and runs until August 15, 2028.
CONDITIONS
Brief 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
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Duration - Day of surgery
Participants undergo laparoscopic cholecystectomy surgery during which videos of the procedure are collected for analysis using AI technology.
1 surgical procedure visit
Duration - Up to 3 years
Participants' surgical videos and related data are observed and analyzed over time to assess the accuracy and performance of the AI-assisted anatomy identification algorithm.
No additional visits; data collection from existing surgical videos
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
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4
Peking university people's hospital
Beijing, China
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5
Shanghai East Hospital of Tongji University
Shanghai, China
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Research Team
D
Di Dong, Ph.D
Q
Qian Liang, M.A.
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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