Artificial Intelligence in Patch Testing: Comprehensive Review of Current Applications and Future Prospects in Dermatology.

Journal: JMIR dermatology
Published Date: Jun 2, 2025

Abstract

BACKGROUND: The integration of artificial intelligence (AI) into patch testing for allergic contact dermatitis (ACD) holds the potential to standardize diagnoses, reduce interobserver variability, and improve overall diagnostic accuracy. However, the challenges and limitations hindering clinical implementation have not been thoroughly explored.

Authors

  • Hilary S Tang
    Division of Dermatology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
  • Joseph Ebriani
    Division of Dermatology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
  • Matthew J Yan
    Division of Dermatology, David Geffen School of Medicine at the University of California, Los Angeles.
  • Shannon Wongvibulsin
    Division of Dermatology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA.
  • Mehdi Farshchian
    Division of Dermatology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.

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