An Automatic AI‐Based Algorithm That Grades the Scalp Surface Exfoliating Process From Video Imaging. Application to Dandruff Severity and Its Validation on Subjects of Different Ages and Ethnicities
This new imaging device coupled with AI-based analysis allows a valid, rapid, and easy determination of the scalp exfoliating process and may represent a complementary help in the diagnosis of dermatologists in some other scalp disorders. Its versatility, easy handling, and immediate AI-based analysis suggest that it may be applied to other cosmetic areas (skincare, makeup, haircare, etc.).
Authors
- Bianca Maria Piraccini (ORCID: https://orcid.org/0000-0001-6537-9689)
- Guive Balooch
- Zhigang Sun (ORCID: https://orcid.org/0000-0002-5112-9627)
- Alex W. Young
- Benjamin Askenazi
- Panagiotis‐Alexandros Bokaris
- Chengda Ye
- Frédéric Flament (ORCID: https://orcid.org/0000-0003-1128-9535)
- Emmanuel Malherbe
- Maxime De Boni
- Victoria Barbosa
- Adrien Chretien
- Ava Mondji
- Romain Roncin
- Aldina Suwanto
Institutions
- L'Oréal (France) (FR)
- Gleneagles Hospital (SG)
- University of Chicago (US)
- Azienda USL di Bologna (IT)
- University of Bologna (IT)
Publication Details
- Journal
- Journal of Cosmetic Dermatology
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1111/jocd.70013
- Primary Topic
- Nail Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- L'Oreal USA
- Strong