Clinical applications of artificial intelligence in urologic oncology.

Journal: Current opinion in urology
PMID: 32941255

Abstract

PURPOSE OF REVIEW: This review aims to shed light on recent applications of artificial intelligence in urologic oncology.

Authors

  • Sharif Hosein
    SUNY Downstate College of Medicine, New York City, New York.
  • Chanan R Reitblat
    Harvard Medical School.
  • Eugene B Cone
    Massachusetts General Hospital.
  • Quoc-Dien Trinh
    Department of Surgery, Division of Urology, Dana Farber/Brigham and Women's Cancer Center, Boston, MA, USA.

Keywords

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