Accuracy of warm ischemia time measurement using a surgical intelligence software in partial nephrectomies: A validation study.

Objectives: The objectives of this study are to compare the accuracy of warm ischemia times (WITs) derived by a surgical artificial intelligence (AI) software to those documented in surgeon operative reports during partial nephrectomy procedures and to assess the potential of this technology in evaluating postoperative renal function.

Patients And Methods: A surgical AI software (Theator Inc., Palo Alto, CA) was used to capture and analyse videos of partial nephrectomies performed between October 2023 and April 2024.

[THE SURGICAL INTELLIGENCE REVOLUTION - APPLYING AI TO IMPROVE SURGICAL QUALITY AND SAFETY].

The use of artificial intelligence (AI) in medicine is rising fast. We continually hear about novel AI-based technologies being deployed to aid clinical teams in areas like interpreting medical images, understanding pathology, determining diagnosis, predicting prognosis, and deciding on interventions. The field of surgery, however, has been slower to jump on the AI bandwagon.