Artificial Intelligence in Reproductive Urology.

Journal: Current urology reports
Published Date: Jul 29, 2019

Abstract

PURPOSE OF REVIEW: The promise of artificial intelligence (AI) in medicine has been widely theorized over the past couple of decades. It has only been with technological advances over the past few years that physicians and computer scientists have started discovering its true clinical potential. Reproductive urology is a sub-discipline that AI could be of great contribution, as current predictive models and subjectivity within the field have several limitations. We review the literature to summarize recent AI applications in reproductive urology.

Authors

  • Kevin Y Chu
    Department of Urology, University of Miami Miller School of Medicine, 1120 NW 14th Street, 15th floor, Miami, FL, 33136, USA.
  • Daniel E Nassau
    Department of Urology, Lenox Hill Hospital, Zucker School of Medicine at Hofstra/Northwell, New York, NY, USA.
  • Himanshu Arora
    Department of Urology, Miller School of Medicine, University of Miami, Miami, Florida.
  • Soum D Lokeshwar
    Department of Urology, University of Miami Miller School of Medicine, 1120 NW 14th Street, 15th floor, Miami, FL, 33136, USA.
  • Vinayak Madhusoodanan
    Department of Urology, University of Miami Miller School of Medicine, 1120 NW 14th Street, 15th floor, Miami, FL, 33136, USA.
  • Ranjith Ramasamy
    Department of Urology, University of Miami Miller School of Medicine, 1120 NW 14th Street, 15th floor, Miami, FL, 33136, USA. Ramasamy@miami.edu.

Keywords

External Resources

Popular Topics
Recent Journals