Diagnosing contact dermatitis using machine learning: A review.

Journal: Contact dermatitis
PMID: 38831517

Abstract

BACKGROUND: Machine learning (ML) offers an opportunity in contact dermatitis (CD) research, where with full clinical picture, may support diagnosis and patch test accuracy.

Authors

  • Eric McMullen
    Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada.
  • Rajan Grewal
    Division of Dermatology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Kyle Storm
    School of Health, University of Waterloo, Waterloo, Ontario, Canada.
  • Mahan Maazi
    Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
  • Abu Bakar Butt
    Schulich School of Medicine, University of Western Ontario, London, Canada.
  • Raghav Gupta
    Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. hshafiee@bwh.harvard.edu.
  • Howard Maibach
    Department of Dermatology, University of California, San Francisco, California, USA.

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