Using Artificial Intelligence to Predict Surgical Shunts in Men with Ischemic Priapism.

Journal: The Journal of urology
PMID: 32516073

Abstract

PURPOSE: Ischemic priapism is a urological emergency that requires prompt intervention to preserve erectile function. Characteristics that influence escalation to surgical intervention remain unclear. We identified factors and developed machine learning models to predict which men presenting with ischemic priapism will require shunting.

Authors

  • Thomas A Masterson
    Department of Urology, Jackson Memorial Hospital and University of Miami Miller School of Medicine, Miami, Florida.
  • Madhumita Parmar
    Department of Urology, Miller School of Medicine, University of Miami, Miami, Florida.
  • Michael B Tradewell
    Department of Urology, Jackson Memorial Hospital and University of Miami Miller School of Medicine, Miami, Florida.
  • Sirpi Nackeeran
    Department of Urology, Jackson Memorial Hospital and University of Miami Miller School of Medicine, Miami, Florida.
  • Quinn Rainer
    Department of Urology, Jackson Memorial Hospital and University of Miami Miller School of Medicine, Miami, Florida.
  • Ruben Blachman-Braun
    Department of Urology, Jackson Memorial Hospital and University of Miami Miller School of Medicine, Miami, Florida.
  • Nicholas Heller
    Department of Computer Science and Engineering, University of Minnesota - Twin Cities, Minneapolis, Minnesota.
  • Aubrey Greer
    Department of Urology, Jackson Memorial Hospital and University of Miami Miller School of Medicine, Miami, Florida.
  • Nicholas Hauser
    Department of Urology, Jackson Memorial Hospital and University of Miami Miller School of Medicine, Miami, Florida.
  • Bruce R Kava
    Department of Urology, Jackson Memorial Hospital and University of Miami Miller School of Medicine, Miami, Florida.
  • 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.

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