NCT07158372 Research on Identifying Critical Surgical Anatomy in Cholecystectomy Videos Based on Deep Learning
| 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
Eligibility Fast-Check
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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.