Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT (GATEWAYS) Scoring of Alopecia Areata

    March 2026 in “ Pediatric Dermatology ”
    Radhika Gupta, Hojjat Salmasian, Michelle Oboite … Albert C. Yan
    Studysummary This study observed that GPT-4o, a generative AI model, showed high concordance with human providers in automating image-based SALT scores for assessing alopecia areata, suggesting its potential in assisting clinical evaluations without additional training.
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    Research cited in this study 6

    1. Using Artificial Intelligence to Compute Severity of Alopecia Tool Scores JAAD International · 2024
    2. Two-Dimensional Planimetry for Alopecia Areata Severity Evaluation Compared With Severity of Alopecia Tool: A Pilot Study Skin Research and Technology · 2023
    3. ‘You Lose Your Hair, What’s the Big Deal?’ I Was So Embarrassed, I Was So Self-Conscious, I Was So Depressed: A Qualitative Interview Study to Understand the Psychosocial Burden of Alopecia Areata Journal of Patient-Reported Outcomes · 2020
    4. Automated Digital Image Analysis (TrichoScan) in Male Patients with Androgenetic Alopecia: Comparison with Manual Marking of Hairs on Trichoscopic Images Skin Research and Technology · 2018
    5. Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation Journal of Investigative Dermatology Symposium Proceedings · 2017
    6. Objective Outcome Measures: Collecting Meaningful Data on Alopecia Areata Journal of The American Academy of Dermatology · 2017