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

Theme Issue: World Skin Health Day (Guinea) (15) Psoriasis (50) Digital Photography and Imaging in Dermatology (61) Dermatology (88) Computer-Aided Diagnosis (400) Image Recognition and AI in Dermatology (30) Theme Issue: AI and ChatGPT in Dermatology (42)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50451, first published .
Close-up of elbows with dry, flaky, red skin patches, indicating a skin condition.

AI in Psoriatic Disease: Scoping Review

AI in Psoriatic Disease: Scoping Review

Authors of this article:

Richard Barlow1 Author Orcid Image ;   Anthony Bewley2 Author Orcid Image ;   Maria Angeliki Gkini2 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Sales C, Coates S. Applications of Artificial Intelligence for High-Burden, Underserved Skin Diseases in Global Settings: a Review. Current Dermatology Reports 2025;14(1) View
  2. Simmachan T, Lerdpraserdpakorn N, Deesrisuk J, Sriwipat C, Shakya S, Boonkrong P. A penalized regression and machine learning approach for quality-of-life prediction in psoriasis patients. Healthcare Analytics 2025;8:100417 View
  3. Mateus M, Alho I, Neves A, Lopes H, Correia M. “First, do no harm” in the digital era: examining the practicality of the European Health Data Space proposal and ethical implications of artificial intelligence- A systematic literature review. BMC Medical Ethics 2026;27(1) View
  4. Shen C, Zhao A, Rotemberg V, Daneshjou R, Parker E, Rosenbach M. Artificial intelligence in dermatology: Clinical promise and environmental impact. Journal of Investigative Dermatology 2026 View
  5. Ulutaş Demirbas G, Diremsizoglu E, Demirbas A. Evaluating the quality of artificial intelligence responses to psoriasis-related clinical and patient questions: a comparative study of ChatGPT, Gemini, and Microsoft Copilot. Baylor University Medical Center Proceedings 2026:1 View