3 citations
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January 2024 in “Annals of Dermatology” The criteria help doctors diagnose and treat alopecia areata more effectively.
4 citations
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October 2022 in “Journal of Imaging” An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
The model accurately predicts hair loss severity in alopecia areata.
13 citations
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September 2018 in “Journal of the American Academy of Dermatology” The document concludes that a new system using the SALT score should replace the current alopecia areata classification for better accuracy in assessing severity and prognosis.
July 2023 in “Dermatology practical & conceptual” The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.