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

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

Recruiting
18 years and older
All
Phase N/A
  • Technical (Original)
  • Simplified (AI rewritten)

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Overview

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.

Description

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

Inclusion Criteria:

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

Exclusion Criteria:

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

Study details
    Cholecystectomy
    Surgical Video Identification

NCT07158372

Chinese Academy of Sciences

15 October 2025

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