AI can improve alopecia areata diagnosis with high accuracy.
May 2023 in “Indian journal of science and technology” The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
March 2026 in “Frontiers in Medicine” A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
61 citations
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June 2022 in “IEEE Journal of Biomedical and Health Informatics” The new method improves skin cancer detection in imbalanced datasets.
33 citations
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May 2015 in “JAMA Dermatology” Early detection of specific skin lesions can help identify Birt-Hogg-Dube syndrome and prevent serious complications.
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
9 citations
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March 2014 in “Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE” The new image descriptor helps identify skin cancer structures with good accuracy.
November 2009 in “Hair transplant forum international” Dr. Bernard Cohen created a new system to classify hair loss using numbers and a detailed scalp map.
1 citations
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January 2009 in “The Open Dermatology Journal” Chemotherapy caused nail grooves and separation, but they healed after treatment stopped.
October 2021 in “Aesthetic Plastic Surgery” New techniques in hair restoration surgery can lead to better hair alignment.
May 2013 in “Proceedings of SPIE” Researchers created a system that accurately aligns laser beams automatically.
146 citations
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February 2012 in “Journal of Clinical Investigation” Blocking Hedgehog signaling offers new treatment options for advanced basal cell carcinoma.
September 1973 in “Primates”
January 2012 in “Journal of Investigative Dermatology” Some Greek melanoma patients have gene mutations linked to increased cancer risk, a new color feature helps diagnose melanoma, the incidence of a skin condition in the Netherlands is rare, and a gene possibly affects male-pattern baldness.
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.
1 citations
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September 2021 in “Physiology News” The authors suggest standardizing how the heart's electrical axis is calculated to improve precision and consistency in ECG analysis.
7 citations
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March 2022 in “Molecules” 5-Bromo-3,4-dihydroxybenzaldehyde could potentially help hair growth by activating certain cell pathways and inhibiting others.
3 citations
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January 2018 in “Dermatology” Scalp biopsies help tell apart androgenetic alopecia and alopecia areata.
23 citations
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January 1996 in “Software Engineering and Knowledge Engineering”
March 2026 in “Mendeley Data” rwSALT provides precise hair regrowth measurement from scalp photos.
November 2020 in “Дерматовенерология, косметология” The M-type is the most common form of male hair loss, and the BASP-classification is easy for different medical professionals to use.
January 2026 in “AppliedMath” Pattern mode isolation improves the reliability and predictability of Turing patterns.
September 2024 in “Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi” XGBoost can effectively diagnose PCOS with 87% accuracy.
November 2025 in “Mendeley Data” November 2025 in “Mendeley Data”
March 2015 in “Journal of Visualized Experiments” A new method measures mouse hair loss using shades of gray.
1 citations
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May 2001 in “Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE” The system helps monitor hair properties using RGB video microscopy.
January 2024 in “Wiadomości Lekarskie” pbn-STAC effectively finds strategies for cellular reprogramming using deep reinforcement learning.
25 citations
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January 2021 in “Journal of drugs in dermatology” Sonidegib and vismodegib are similarly effective for advanced basal cell carcinoma, but sonidegib might have a slightly better safety profile.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.