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

Acne (23) Consumer & Patient Education and Shared-Decision Making (1296) Machine Learning (3303) Artificial Intelligence (4933) Precision Medicine (453) Machine Learning from Digital Images in Dermatology (24)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60883, first published .
Teenage girl with acne looking in a mirror, concerned about her skin.

Effectiveness of a Machine Learning-Enabled Skincare Recommendation for Mild-to-Moderate Acne Vulgaris: 8-Week Evaluator-Blinded Randomized Controlled Trial

Effectiveness of a Machine Learning-Enabled Skincare Recommendation for Mild-to-Moderate Acne Vulgaris: 8-Week Evaluator-Blinded Randomized Controlled Trial

Authors of this article:

Misbah Noshela Ghazanfar1 Author Orcid Image ;   Ali Al-Mousawi1 Author Orcid Image ;   Christian Riemer2 Author Orcid Image ;   Benóný Þór Björnsson2 Author Orcid Image ;   Charlotte Boissard2 Author Orcid Image ;   Ivy Lee3 Author Orcid Image ;   Zarqa Ali1 Author Orcid Image ;   Simon Francis Thomsen1, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. . Akne vulgaris: KI-basierte Hautpflegeempfehlungen steigern die Lebensqualität. Aktuelle Dermatologie 2025;51(12):423 View
  2. Ivanovic N, Popa M, Toma A, Pilut N, Fericean R, Crainic D, Twakor A, Serban D, Csiki K, Dumache R. The Evolving Role of Artificial Intelligence in Dermatology: A Meta-Analysis of Diagnostic Performance, Clinical Applications, and Implementation Challenges (2003–2025). Diagnostics 2026;16(17):2797 View