Keio University

Instantly Determine the Severity of Atopic Dermatitis with Smartphone Images and AI: Development of a Digital Biomarker to Assess Symptoms from Home—Published in the International Medical Journal Allergy—

Publish: May 20, 2025
Public Relations Office

2025/05/20

Keio University School of Medicine

Keio University Hospital

Kyoto Prefectural University of Medicine

Teikyo University

Atopiyo LLC

A research team—led by Senior Lecturer Tsuyoshi Adachi of the Department of Dermatology, Keio University School of Medicine, and the Allergy Center at Keio University Hospital (also of Kyoto Prefectural University of Medicine); Assistant Professor Utako Karigane of the same department; and Associate Professor Masakazu Hirota of the Department of Orthoptics, Faculty of Medical Technology, Teikyo University—has developed a new AI model. Using one of Japan's largest posting apps for patients with atopic dermatitis, this model automatically analyzes and evaluates the severity of skin rashes from images taken by the patients themselves. This AI model serves as a tool that allows patients to continuously, medically, and objectively monitor their own skin condition outside the doctor's office, supporting their daily awareness and decision-making. Furthermore, it is expected to be used in medical institutions as a "digital biomarker" that can continuously and standardly evaluate the severity of skin rashes. The results of this research were published in the online edition of Allergy , one of the most prestigious international medical journals in the field of allergy, on May 20, 2025 (UTC).

Please see below for the full press release.

Press Release (PDF)