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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.

This study found that GPT-4o demonstrated high concordance with in-person and image-based provider assessments in generating SALT scores for alopecia areata, suggesting its potential as an adjunct tool in clinical practice for automating these assessments.

This study evaluated the agreement between clinician and patient assessments of eyebrow and eyelash hair loss severity in adults with severe alopecia areata, using data from two phase 3 studies over 52 weeks.

This study found moderate to poor agreement among observers assessing ultrasonographic features of polycystic ovaries, suggesting the need for standardized training modules to improve consistency.

This study did not find any correlation or linkage disequilibrium between androgen receptor gene CAG/GGC haplotypes and androgenetic alopecia in Mexican brothers.