Prediction of surgery start for automated anesthesia using draping detection from surveillance videos
An erratum to this article was published (J Clin Monit Comput, Apr 2026 ↗)
Authors' conclusion
The start of draping is a reliable predictor of the start of surgery, and the draping detection system demonstrated high accuracy.
Study context
- Population
- Elective laparoscopic surgeries at Kyoto University Hospital
- Participants
- 110 videos
- Exposure
- System-detected vs manually annotated draping times
- Outcome
- Time interval between key medical staff actions and skin incision; draping detection time error
Methodological detailssingle-centre, surveillance camera footage
- Single-centre
- Surveillance camera footage
Main finding
As reported in the abstract
Time interval from action start to skin incision
Draping start to skin incision, median (IQR 5.89-9.72), shortest interval and IQR; significantly shorter than other actions (p < 0.05)
7.71 min
Draping detection median time error (IQR 16.0-50.0)
19.0 s
Observational data: associations, not effects.
Original publication
Prediction of surgery start for automated anesthesia using draping detection from surveillance videos. J Clin Monit Comput. Published 20 June 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →