Deep learning for Mpox: Advances, challenges, and opportunities.

Journal: Med (New York, N.Y.)
Published Date:

Abstract

Although deep-learning algorithms in dermatology have shown promise in diagnosing skin cancers, less is known about potential applications for the diagnosis of infectious diseases. In a recent publication in Nature Medicine, Thieme et al. develop a deep-learning algorithm to classify skin lesions from Mpox virus (MPXV) infections..

Authors

  • Shannon Wongvibulsin
    Division of Dermatology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA.
  • Adewole S Adamson
    Department of Dermatology, University of North Carolina at Chapel Hill.