January 2025 in “Open Science Framework” Hair disorders significantly affect self-image, mental health, and quality of life.
9 citations
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March 2007 in “Hair transplant forum international” Densitometry and video-microscopy are precise for evaluating hair loss and transplant success but need special equipment and training.
January 2026 in “JDDG Journal der Deutschen Dermatologischen Gesellschaft” Deep-learning models can effectively diagnose and assess Alopecia areata using scalp images.
An automated system can accurately classify hair disorders using image analysis.
August 2016 in “Journal of Investigative Dermatology” Scalp psoriasis features reversible hair loss and specific immune activation, with no significant hair follicle damage.
The tool accurately measures hair count and size on scalps with 79.45% and 68.19% accuracy, respectively.
16 citations
,
October 1979 in “The Journal of Dermatologic Surgery and Oncology” Scalp reduction surgery successfully reduced baldness and improved self-image in a burn victim before hair transplantation.
2 citations
,
July 2025 in “Analytical Chemistry” The method effectively images and correlates elements and metabolites in tissue samples at a micron scale.
August 2023 in “Institutional Repositories DataBase (IRDB)” Scalp texture changes during hair regrowth after chemotherapy.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
1 citations
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January 2013 in “International Journal of Trichology” A girl with red hair developed hair-pulling and body image disorders after being bullied for her hair color.
24 citations
,
November 2007 in “Journal of Investigative Dermatology Symposium Proceedings” Hair and scalp disorders significantly affect self-esteem, and using cosmetic products like conditioners and styling aids can improve hair health and appearance.
2 citations
,
January 2024 AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.
October 2022 in “Hair Transplantation” Dermoscopy helps identify hair loss types for better hair transplant evaluation.
July 2025 in “Lasers in Surgery and Medicine” Non-ablative fractional laser treatment safely improves hair growth and scalp appearance.
1 citations
,
May 2025 in “Journal of Digital Information Management” VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.
304 citations
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July 2006 in “Journal of The American Academy of Dermatology” Videodermoscopy improves diagnosis of hair and scalp disorders and may reduce scalp biopsies.
February 2025 in “Skin Research and Technology” New non-invasive techniques can improve diagnosis and treatment of scalp and hair diseases.
The system effectively detects scalp diseases and classifies hair fall stages with high precision.
December 2024 in “International Journal Of Ayurvedic And Herbal Medicine” Shirodhara improves scalp health, hair growth, and skin appearance by reducing stress and enhancing circulation.
January 2022 in “Surgical & Cosmetic Dermatology” Fat grafting before FUE hair transplantation effectively treats scalp scars.
August 2023 in “The Kitakanto Medical Journal” Image analysis can effectively identify changes in scalps affected by chemotherapy-induced hair loss.
December 2022 in “BMC women's health” The CNC® prosthetic system improved body image in breast cancer patients with hair loss from chemotherapy but did not significantly change their psychological wellbeing.
June 2025 in “British Journal of Dermatology” ALUDWIG can help standardize female hair loss assessment from a single image.
63 citations
,
February 2003 in “Australasian Journal of Dermatology” Global photography and phototrichogram techniques are the best current methods for measuring hair growth.
14 citations
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July 2007 in “International Journal of Cosmetic Science” The new 3D imaging method accurately measures hair surface details quickly.
January 2018 in “Communications in computer and information science” Researchers developed a computer system to automatically diagnose hair loss by analyzing scalp images.
10 citations
,
January 2015 in “Skin appendage disorders” Low-cost videomicroscopes are not as reliable as standard videodermatoscopes for scalp examination due to lower image quality.
Transfer learning with three neural network architectures accurately classifies hair diseases.
October 2023 in “Asian journal of pharmaceutical and clinical research” Standardized data is essential for diagnosing scalp and hair conditions in males.