The Development and Performance of a Machine-Learning Based Mobile Platform for Visually Determining the Etiology of 5 Penile Diseases.

Journal: Mayo Clinic proceedings. Digital health
Published Date: May 1, 2024

Abstract

OBJECTIVE: To develop a machine-learning visual classification algorithm for penile diseases in order to address disparities in access to sexual health services.

Authors

  • Lao-Tzu Allan-Blitz
    Division of Global Health Equity, Department of Medicine, Brigham and Women's Hospital, Boston, MA.
  • Sithira Ambepitiya
    HeHealth, San Francisco, CA.
  • Raghavendra Tirupathi
    Keystone Infectious Diseases, Keystone Health, Chambersburg, PA.
  • Jeffrey D Klausner
    Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.

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