Applications of neural networks in urology: a systematic review.

Journal: Current opinion in urology
PMID: 32881726

Abstract

PURPOSE OF REVIEW: Over the last decade, major advancements in artificial intelligence technology have emerged and revolutionized the extent to which physicians are able to personalize treatment modalities and care for their patients. Artificial intelligence technology aimed at mimicking/simulating human mental processes, such as deep learning artificial neural networks (ANNs), are composed of a collection of individual units known as 'artificial neurons'. These 'neurons', when arranged and interconnected in complex architectural layers, are capable of analyzing the most complex patterns. The aim of this systematic review is to give a comprehensive summary of the contemporary applications of deep learning ANNs in urological medicine.

Authors

  • Enrico Checcucci
    Division of Urology, Department of Oncology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy.
  • Sabrina De Cillis
    Department of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
  • Stefano Granato
    Department of Urology, University of Turin, 'San Luigi Gonzaga' Hospital, Orbassano, Turin, Italy.
  • Peter Chang
    Department of Urology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Andrew Shea Afyouni
    Department of Urology, University of California Irvine, Orange, California, USA.
  • Zhamshid Okhunov
    Department of Urology, University of California Irvine, Orange, California, USA.

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