January 2004 in “Journal of Clinical Dermatology”
July 2025 in “The Ewha Medical Journal” This study developed a deep learning model for the automated early detection of androgenetic alopecia using trichoscopic images, and found it demonstrated high accuracy and generalizability in a Korean clinical cohort, achieving a 90% accuracy in external validation.
July 2026 in “International Journal of Advanced Research in Science Communication and Technology” In this study, the BaldGraphFormer framework, integrating visual and clinical data, outperformed unimodal baselines in early-stage androgenetic alopecia detection, achieving an F1-score of 97.62% and macro-average AUC of 0.992, suggesting its potential to support dermatological decision-making and early intervention.
1 citations
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July 2025 in “The Ewha Medical Journal” The Ewha Medical Journal is now in PubMed, has an AI article editor, and offers Korean reporting guidelines.
4 citations
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January 2021 in “Dermatologic Therapy” This review highlights current and future AI applications in hair restoration and diagnosis of hair disorders, including automated systems for hair detection and self-diagnosis, emphasizing the need for experts to understand their benefits and limitations.