Effectiveness of a Machine Learning-Enabled Skincare Recommendation for Mild-to-Moderate Acne Vulgaris: 8-Week Evaluator-Blinded Randomized Controlled Trial
Using a machine learning model for personalized skincare recommendations significantly reduced symptoms and improved severity and overall QoL of patients with mild-to-moderate AV, supporting the potential of machine learning-based personalized treatment options in dermatology.
Authors
- Zarqa Ali (ORCID: https://orcid.org/0000-0003-2411-7177)
- Simon Francis Thomsen (ORCID: https://orcid.org/0000-0002-4838-300X)
- Christian Riemer
- Ali Al-Mousawi (ORCID: https://orcid.org/0009-0004-1433-093X)
- Misbah Noshela Ghazanfar (ORCID: https://orcid.org/0009-0007-5993-7454)
- Benóný Þór Björnsson
- Charlotte Boissard
- Ivy Lee (ORCID: https://orcid.org/0009-0003-9149-3524)
Institutions
- University of Copenhagen (DK)
- University of California, Los Angeles (US)
- Bispebjerg Hospital (DK)
Publication Details
- Journal
- JMIR Dermatology
- Published
- 2025-05-08
- DOI
- https://doi.org/10.2196/60883
- Citations
- 1
- Primary Topic
- Acne and Rosacea Treatments and Effects
- Type
- article
- Field-Weighted Citation Impact
- 2.00