AI tool enables real-world assessment of eczema severity via smartphone photos

Updated

A team of researchers from Keio University School of Medicine, Kyoto Prefectural University of Medicine, and Teikyo University, in collaboration with Atopiyo LLC, has developed a novel artificial intelligence (AI) model that can objectively assess eczema severity using smartphone images uploaded by patients.

The research team used data from Atopiyo, Japan's largest AD platform, where over 28,000 users have shared more than 57,000 symptom photos and personal comments since 2018.

The AI model developed in this study integrates three key algorithms: body part detection, eczema lesion detection, and severity scoring using the Three Item Severity (TIS) scale, which evaluates redness, swelling, and excoriation.

Using a training dataset of 880 images with self-reported itch scores, the AI model demonstrated high diagnostic accuracy.

In a validation study using 220 test images, the AI-based TIS (AI-TIS) showed a strong correlation with dermatologist-assessed TIS scores (R = 0.73, P < 0.001) and a meaningful correlation with objective SCORAD scores (R = 0.53, P = 0.04).

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