The performance of an artificial intelligence-based computer vision mobile application for the image diagnosis of genital dermatoses: a prospective cross-sectional study.

Journal: International journal of dermatology
Published Date: Feb 5, 2024

Abstract

BACKGROUND: There is a huge demand-supply gap between the incidence of genital dermatoses (including sexually transmitted infections and non-venereal genital dermatoses) and physicians trained to manage them.

Authors

  • Nikhil Mehta
    Department of Dermatology and Venereology, All India Institute of Medical Sciences, New Delhi, India.
  • Ejaz Khan
    School of Engineering, RMIT University, Melbourne 3000, Australia.
  • Rajat Choudhary
    Department of Dermatology and Venereology, All India Institute of Medical Sciences, New Delhi, India.
  • Dhwani Dholakia
    Genomics and Molecular Medicine Unit, Academy of Scientific and Innovative Research, New Delhi, India.
  • Sachin Goel
    Department of Dermatology and Venereology, All India Institute of Medical Sciences, New Delhi, India.
  • Somesh Gupta
    Department of Dermatology & Venereology, All India Institute of Medical Sciences, New Delhi, India.

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