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

Acne (8) Machine Learning from Digital Images in Dermatology (17) Machine Learning (2076) Consumer & Patient Education and Shared-Decision Making (862) Artificial Intelligence (2129) Precision Medicine (159)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60883, first published .
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

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 Tweetations Metrics

Misbah Noshela Ghazanfar   1 , MD, PhD ;   Ali Al-Mousawi   1 , MD ;   Christian Riemer   2 , MSc ;   Benóný Þór Björnsson   2 , MSc ;   Charlotte Boissard   2 , MSc ;   Ivy Lee   3 , MD ;   Zarqa Ali   1 , MD, PhD ;   Simon Francis Thomsen   1, 4 , MD, PhD

1 Department of Dermatology, Bispebjerg Hospital, Copenhagen, Denmark

2 NØIE, Copenhagen, Denmark

3 Division of Dermatology, University of California Los Angeles, Los Angeles, CA, United States

4 Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark

Corresponding Author: