aceAI enhanced surgeons' faster responses to intraoperative bleeding in laparoscopic surgery: a preclinical randomized controlled trial
Objective To develop and validate an artificial intelligence (AI) model for real-time detection and tracking of intraoperative bleeding sites during laparoscopic surgery, and to evaluate whether AI assistance improves surgeons' bleeding‑identification performance. Methods From January to September 2023, laparoscopic surgical videos were retrospectively collected from 20 medical centers in China. Senior surgeons identified bleeding events, extracted relevant video clips, and manually annotated bleeding frames to…
In a randomized preclinical trial of 77 surgeons, AI assistance shortened the time to identify a bleeding site in laparoscopic video and lowered the surgeons' negative emotional burden.
The trial was preclinical, so the reported benefit applies to bleeding identification in surgical videos rather than to live operations or patient outcomes.
Evidence
- Peer-reviewedSurgical Endoscopy2026-10-13
How should this claim be treated?
Truvace Impact Record TRV-2026-2032, v1: “AI enhanced surgeons' faster responses to intraoperative bleeding in laparoscopic surgery: a preclinical randomized controlled trial.” Truvace, 2026-10-20. /record/TRV-2026-2032 (accessed at citation time). sha256 33b353fdc41d1960…
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