Condition: Cholecystectomy · Surgical Video Identification · Sponsor: Chinese Academy of Sciences
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.
This description comes directly from the study's public registry record.
Di Dong, Ph.D · +86 010-82618465 · di.dong@ia.ac.cn
Qian Liang, M.A. · liangqian2016@ia.ac.cn
Always discuss trial participation with your own doctor first.
| The First Affiliated Hospital of Zhengzhou University | Zhengzhou, Henan, China | Recruiting |
| Beijing Anzhen Hospital, Capital Medical University | Beijing, China | Recruiting |
| Beijing Luhe Hospital, Capital Medical University | Beijing, China | Recruiting |
| Peking university people's hospital | Beijing, China | Recruiting |
| Shanghai East Hospital of Tongji University | Shanghai, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07158372