1 citations
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December 2024 in “Journal of Cutaneous Medicine and Surgery” AI is useful for diagnosing skin diseases but has limitations to consider before widespread use.
February 2026 in “Dermatology and Therapy” AI can improve hair disorder diagnosis and treatment but can't replace doctors yet.
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
The model accurately predicts hair loss severity in alopecia areata.
6 citations
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January 2018 in “Multimedia Tools and Applications” The new method removes hair from skin images quickly and accurately to help identify skin lesions better.
10 citations
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February 2015 in “Melanoma management” Dermoscopy is useful for many health professionals, not just dermatologists, in improving skin condition diagnoses and reducing unnecessary biopsies.
5 citations
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January 2025 in “BMC Medical Informatics and Decision Making” Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
25 citations
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November 2010 in “Journal of Molecular Structure” Raman micro-spectroscopy can help distinguish basal cell carcinoma from hair follicles in skin tissue.
9 citations
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January 2011 in “Skin Research and Technology” The new automatic tool accurately measures hair thickness and is reliable.
The ProScope HR is an effective, user-friendly, and affordable tool for diagnosing hair loss.
January 2018 in “Communications in computer and information science” Researchers developed a computer system to automatically diagnose hair loss by analyzing scalp images.
73 citations
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March 2009 in “Seminars in Cutaneous Medicine and Surgery” The document concludes that accurate diagnosis of hair disorders is crucial and requires a range of diagnostic methods.
51 citations
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April 2021 in “JAMA network open” The AI tool helped primary care doctors and nurse practitioners diagnose skin conditions more accurately.
7 citations
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February 2020 in “Analytical and Bioanalytical Chemistry”
July 2025 in “The Ewha Medical Journal” The model accurately detects early-stage hair loss using images.
4 citations
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January 2021 in “Dermatologic Therapy” AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
September 2025 in “The Open Dermatology Journal” The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
November 2025 in “Kufa Journal of Engineering” AI can effectively detect hair and scalp disorders from images.
July 2014 in “Journal of Dermatology” Educating patients on phototrichogram increased satisfaction in androgenetic alopecia treatment.
69 citations
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August 2014 in “Journal of The American Academy of Dermatology” Trichoscopy is a quick, cost-effective tool for diagnosing different hair loss conditions.
July 2025 in “Zagazig University Medical Journal” Exosomes can be used for diagnosing and treating skin conditions and improving skin health.
November 2023 in “Journal of Dermatological Science” A new computer tool quickly measures hair thickness differences in people with common types of hair loss.
21 citations
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January 2010 in “International Journal of Trichology” TrichoScan often makes mistakes and needs improvement for correct hair growth analysis.
24 citations
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January 2011 in “International Journal of Trichology” Light microscopy is useful for diagnosing different hair disorders.
16 citations
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July 2023 in “Frontiers in Medicine” Reliable, non-invasive tools are needed for better vitiligo diagnosis.
March 2026 in “International Journal of Science Strategic Management and Technology” WomenCare helps predict PCOD risk in women to encourage early medical consultation.
January 2015 in “Hair therapy & transplantation” New hair and scalp disease diagnosis methods are important for correct treatment.
6 citations
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September 2025 in “Scientific Reports” Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.
September 2024 in “Journal of Investigative Dermatology” A new tool can analyze hair to detect changes due to hormones, genetics, and aging.
73 citations
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April 2006 in “BioTechniques” Protein microarrays are highly sensitive tools useful for disease diagnosis and studying proteins.