LAUSR

Key Points Question What is the utility of a data set that contains videos of surgeons managing hemorrhage? Findings This quality improvement study of the Simulated Outcomes Following Carotid Artery Laceration (SOCAL), a public data set of surgeons managing catastrophic surgical hemorrhage in a cadaveric training exercise included 65 071 instrument annotations with recorded outcomes. Computer vision–based instrument detection achieved a mean average precision of 0.67 on SOCAL and a sensitivity of 0.77 and a positive predictive value of 0.96 at detecting surgical instruments from real intraoperative video. Meaning A corpus of videos of surgeons managing catastrophic hemorrhage is a novel, valuable resource for surgical data science.