5 citations
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July 2023 in “Journal of Autonomous Intelligence” Artificial neural networks can accurately diagnose Alopecia Areata.
2 citations
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January 2024 in “Journal of Emerging Investigators” A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
January 2022 in “Journal of Pharmaceutical Negative Results” The VGG-SVM method accurately identifies and classifies stages of Alopecia Areata and other hair loss conditions.
Transfer learning with three neural network architectures accurately classifies hair diseases.
April 2021 in “Journal of Investigative Dermatology” A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.