RecruitingNCT07158372

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

Sponsor

Chinese Academy of Sciences

Enrollment

200 participants

Start Date

Aug 15, 2025

Study Type

OBSERVATIONAL

Conditions

Cholecystectomy Surgical Video Identification

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.

Eligibility

Min Age: 18 Years

Inclusion Criteria1

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

Exclusion Criteria1

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

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Interventions

DIAGNOSTIC_TESTAI-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.