With the advent of electronic medical records and digitalization of health care over the past 2 decades, artificial intelligence (AI) has emerged as an enabling tool to manage complex datasets and deliver streamlined data-driven patient care. AI algorithms have the ability to extract meaningful signal from complex datasets through an iterative process akin to human learning. Through advancements over the past decade in deep learning, AI-driven innovations have accelerated applications in health care. Herein, the authors explore the development of these emerging AI technologies, focusing on the application of AI to endourology and robotic surgery.
The Urologic clinics of North America. 2020 Nov 05 [Epub]
Timothy C Chang, Caleb Seufert, Okyaz Eminaga, Eugene Shkolyar, Jim C Hu, Joseph C Liao
Department of Urology, Stanford University School of Medicine, 300 Pasteur Drive, S-287, Stanford, CA 94305, USA; Veterans Affairs Palo Alto Health Care System, 3801 Miranda Ave, Mail Code 112, Palo Alto, CA 94304, USA. Electronic address: ., Department of Urology, Stanford University School of Medicine, 300 Pasteur Drive, S-287, Stanford, CA 94305, USA., Department of Urology, Weill Cornell Medicine-New York Presbyterian Hospital, 525 E 68th Street, Starr Pavilion, Ninth Floor, New York, NY 10065, USA., Department of Urology, Stanford University School of Medicine, 300 Pasteur Drive, S-287, Stanford, CA 94305, USA; Veterans Affairs Palo Alto Health Care System, 3801 Miranda Ave, Mail Code 112, Palo Alto, CA 94304, USA.