This scoping review describes the current use of artificial intelligence in alopecia research, highlighting AI's evolution from diagnostic to prognostic applications in dermatology and identifying gaps in multimodal integration and fairness across demographics.
137 citations
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July 2004 in “Journal of The American Academy of Dermatology”
This study observed that triple horizontal scalp biopsies provided a more accurate diagnosis of female pattern hair loss in women than a single horizontal biopsy, especially for those with advanced hair loss.
This study developed a model for detecting sparse hair clusters using enhanced object detection neural networks and medical images, which accurately identifies and counts sparse hair clusters with greater accuracy and efficiency than existing methods.
150 citations
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November 2007 in “The Journal of Clinical Endocrinology and Metabolism”
This study determined that nonclassical congenital adrenal hyperplasia has a 2.2% prevalence among hyperandrogenic women in Spain, with basal serum 17-hydroxyprogesterone showing excellent diagnostic performance.