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This paper is in the following e-collection/theme issue:

Image Recognition and AI in Dermatology (30) Digital Health Reviews (3524) Clinical Information and Decision Making (3544) Decision Support for Health Professionals (2124) Artificial Intelligence (4546)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67154, first published .
Close-up of a patch test on human skin with glowing digital interface

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

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

Authors of this article:

Hilary S Tang1 Author Orcid Image ;   Joseph Ebriani1 Author Orcid Image ;   Matthew J Yan1 Author Orcid Image ;   Shannon Wongvibulsin1 Author Orcid Image ;   Mehdi Farshchian1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Yan M, Jiang Y, Wongvibulsin S, Chen S. Assessing public interest in artificial intelligence in dermatology: A Google Trends analysis. JID Innovations 2026;6(2):100435 View
  2. Liu Y, Li L, Sun Y. New insights into the diagnosis and management of patients with cutaneous drug hypersensitivity. Current Opinion in Allergy & Clinical Immunology 2026;26(4):256 View
  3. Stragyte D, Mikalauskas G, Gaidulevic K, Paukstaitiene R, Stasaitis K, Raudonis V, Valiukeviciene S. A Structured Review of Deep Learning Approaches and Image-Preprocessing Techniques for Automated Contact Allergy Patch Test Interpretation. Medical Sciences 2026;14(2):322 View
  4. Lee J, Jeong Y, Choi Y, Roh J, Choi H, Ahn S, Byun J. AI‐Assisted Automated Two‐Stage Patch Test Interpretation System Using Vision Transformer. Contact Dermatitis 2026 View