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Recruiting NCT07158372

NCT07158372 Research on Identifying Critical Surgical Anatomy in Cholecystectomy Videos Based on Deep Learning

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Clinical Trial Summary
NCT ID NCT07158372
Status Recruiting
Phase
Sponsor Chinese Academy of Sciences
Condition Cholecystectomy
Study Type OBSERVATIONAL
Enrollment 200 participants
Start Date 2025-08-15
Primary Completion 2026-08-15

Trial Parameters

Condition Cholecystectomy
Sponsor Chinese Academy of Sciences
Study Type OBSERVATIONAL
Phase N/A
Enrollment 200
Sex ALL
Min Age 18 Years
Max Age N/A
Start Date 2025-08-15
Completion 2026-08-15
Interventions
AI-assisted Intraoperative Anatomy Analysis

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Brief 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 Criteria

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.

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