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

Recruiting now

Conditions studied: Cholecystectomy, Surgical Video Identification

In brief

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 facts

Study ID

NCT07158372

Run by

Chinese Academy of Sciences

People needed

200

Starts

2025-08-15

Expected to finish

2028-08-15

Last updated by the study team

2025-09-05

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Patients aged 18 or above who are diagnosed by a doctor as needing laparoscopic cholecystectomy

You may not qualify if…

• Patients who did not undergo surgery at the original hospital and those whose videos were blurry were excluded.

Where it is running

• The First Affiliated Hospital of Zhengzhou University — Zhengzhou, Henan, China (enrolling)
• Beijing Anzhen Hospital, Capital Medical University — Beijing, China (enrolling)
• Beijing Luhe Hospital, Capital Medical University — Beijing, China (enrolling)
• Peking university people's hospital — Beijing, China (enrolling)
• Shanghai East Hospital of Tongji University — Shanghai, China (enrolling)

Full record on ClinicalTrials.gov

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