Current Trends in Artificial Intelligence Application for Endourology and Robotic Surgery.

Journal: The Urologic clinics of North America
PMID: 33218590

Abstract

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.

Authors

  • Timothy C Chang
    Department of Urology, Stanford University School of Medicine, Stanford, CA, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
  • Caleb Seufert
    Department of Urology, Stanford University School of Medicine, 300 Pasteur Drive, S-287, Stanford, CA 94305, USA.
  • Okyaz Eminaga
    Okyaz Eminaga, Stanford Medical School, Stanford, CA; University Hospital of Cologne, Cologne, France; Nurettin Eminaga, St Mauritius Therapy Clinic, Meerbusch; Axel Semjonow, University Hospital Muenster; and Bernhard Breil, Niederrhein University of Applied Sciences, Krefeld, Germany.
  • Eugene Shkolyar
    Department of Urology, Stanford University School of Medicine, Stanford, CA, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
  • Jim C Hu
  • Joseph C Liao
    Department of Urology, Stanford University School of Medicine, Stanford, CA, USA.

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