Surgical Artificial Intelligence in Urology: Educational Applications

Urol Clin North Am. 2024 Feb;51(1):105-115. doi: 10.1016/j.ucl.2023.06.003. Epub 2023 Jul 27.ABSTRACTSurgical education has seen immense change recently. Increased demand for iterative evaluation of trainees from medical school to independent practice has led to the generation of an overwhelming amount of data related to an individual's competency. Artificial intelligence has been proposed as a solution to automate and standardize the ability of stakeholders to assess the technical and nontechnical abilities of a surgical trainee. In both the simulation and clinical environments, evidence supports the use of machine learning algorithms to both evaluate trainee skill and provide real-time and automated feedback, enabling a shortened learning curve for many key procedural skills and ensuring patient safety.PMID:37945096 | DOI:10.1016/j.ucl.2023.06.003

Source: The Urologic Clinics of North America - November 9, 2023 Category: Urology & Nephrology Authors: Mitchell G Goldenberg Source Type: research