40 citations
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July 2017 in “Frontiers in Medicine” Early and personalized treatment for hair loss in young people is crucial to prevent permanent damage and should include psychological support.
36 citations
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June 2018 in “Journal of Dermatology” Use finasteride, dutasteride, and minoxidil for hair loss treatment.
17 citations
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January 2010 in “PubMed” CD10 helps distinguish between basal cell carcinoma and benign hair follicle tumors.
4 citations
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August 2013 in “Expert Review of Dermatology” Updated treatments for female hair loss include minoxidil, antiandrogens, hair transplants, and light therapy.
3 citations
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August 2013 in “Journal of the American Academy of Dermatology” A new method quickly detects hair changes from EGFR inhibitors using a microscope.
2 citations
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February 2021 in “The Journal of clinical and aesthetic dermatology” Understanding the cause of bitemporal hair loss is key to deciding the right treatment.
2 citations
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October 2017 in “Journal of The American Academy of Dermatology” Focal atrichia helps diagnose female pattern hair loss.
2 citations
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January 2014 in “Turkish Journal of Medical Sciences” TrichoScan effectively diagnoses different types of hair loss and is linked to low iron stores in patients.
1 citations
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September 2015 in “Clinics in Dermatology” The guide helps doctors diagnose hair problems by suggesting a thorough patient history, physical exams, and various diagnostic tools.
July 2024 in “International Journal of Dermatology Venereology and Leprosy Sciences” Trichoscopy is a useful, painless tool for diagnosing and monitoring children's hair and scalp issues.
February 2022 in “Actas dermo-sifiliográficas/Actas dermo-sifiliográficas” Hair shaft disorders, often due to genetics or environment, lack specific treatments but can be managed with gentle hair care and may improve with age or topical treatments.
July 2021 in “Indian journal of dermatopathology and diagnostic dermatology” Trichoscopy is a reliable method for diagnosing hair and scalp disorders quickly and non-invasively.
January 2020 in “Lʹvìvsʹkij medičnij časopis” Analyzing hair for its elemental makeup can be useful for diagnosis, but there are still challenges and room for improvement.
May 2015 in “Journal of The American Academy of Dermatology” The algorithm can effectively diagnose different types of female hair loss with proper history, examination, and tests.
October 2022 in “Reproductive health of woman” Accurate diagnosis and personalized treatment are crucial for managing women's hair loss.
November 2020 in “Skin Research and Technology” Videodermoscopy better identifies female hair loss than clinical diagnosis.
26 citations
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January 1994 in “McGraw-Hill eBooks” Many hair loss conditions can be treated.
1 citations
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October 2021 in “Indian Journal of Plastic Surgery” The document concludes that doctors should use a systematic method and tools like trichoscopy to diagnose hair loss causes.
February 2003 in “Australasian Journal of Dermatology”
The book is a detailed guide on hair growth issues and treatments, recommended for specialists and hospital libraries.
46 citations
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October 2012 in “Dermatologic Clinics” Female pattern hair loss diagnosed by scalp appearance, treated with combined therapies and targeted approaches.
July 2022 in “International Journal of Applied Pharmaceutics” Machine learning and deep learning can effectively diagnose alopecia areata.
May 2021 in “GSC Advanced Research and Reviews” Hair color is influenced by genetics and can indicate certain health conditions.
December 2022 in “Skin Pharmacology and Physiology” Special scalp and hair examination techniques can identify hair problems.
4 citations
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March 2021 in “JAMA” Primary care in 2021 focused on identifying nonscarring hair loss and managing common types based on the pattern of hair loss.
The model accurately identifies hair diseases using deep learning.
3 citations
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November 2021 in “Applied Microscopy” Hair microscopy is a simple and cost-effective method to help diagnose systemic diseases in children.
Advancements in diagnostics, treatments, and technology have improved hair loss detection and restoration, with some types being reversible.
November 2024 in “Frontiers in Endocrinology” Hair analysis can help diagnose adrenal disorders non-invasively.
The system can automatically identify different hair and scalp conditions using machine learning.