21 citations
,
January 1988 in “Stress Medicine” Stress affects skin health and emotional well-being should be considered in skin disease treatment.
September 2025 in “Cureus” GLP-1 agonists may help treat certain skin conditions.
March 2018 in “Surgical and Radiologic Anatomy” High-resolution imaging is crucial for diagnosing and planning treatments in clinical anatomy and aging.
December 2021 in “Acta dermato-venereologica” A deep learning model accurately predicts male hair loss types using scalp images.
3 citations
,
May 2010 in “Nursing Standard” Treatments for autoimmune hair loss have limited success and often relapse, and emotional support is crucial for those affected.
July 2023 in “Dermatology practical & conceptual” The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
33 citations
,
August 2013 in “British Journal of Dermatology” Lack of small, fine hair on the front hairline is a key sign of frontal fibrosing alopecia.
72 citations
,
July 2003 in “Journal of cosmetic dermatology” Frequent hair coloring and styling can damage hair and cause breakage or loss.
3D-ultrasound can non-invasively detect and predict alopecia areata phases and outcomes.
February 2022 in “Skin research and technology” Reflective confocal microscopy can potentially diagnose epidermoid cysts without a biopsy.
31 citations
,
August 2001 in “PubMed” TrichoScan accurately measures hair growth and showed improved hair counts and thickness after finasteride treatment.
19 citations
,
October 2014 in “Veterinary Dermatology” Dermoscopy is a good, noninvasive way to see normal cat skin structures and could be useful for check-ups.
5 citations
,
June 2023 in “Engineering Technology & Applied Science Research” The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
5 citations
,
February 2015 in “Dermatologica Sinica” Computer-aided imaging system helps measure balding area in female pattern hair loss.
1 citations
,
May 2016 in “Dermatologic Surgery” The document concludes that using a phototrichogram with a protractor and tapeline is a reliable and noninvasive way to measure hair loss.
March 2026 in “Applied Sciences” AI in hair and scalp analysis shows promise but lacks real-world clinical integration and validation.
April 2021 in “Journal of Investigative Dermatology” A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.
Low-dose oral minoxidil effectively treats hair loss with good tolerance.
February 2021 in “Dermatologic Therapy” Injections improve hair growth, density, and thickness in women safely.
3 citations
,
November 2016 in “Clinical Pediatrics” A girl with Crohn's disease developed hair loss from her medication, which improved with treatment but later returned.
July 2021 in “JOURNAL OF THE MEDICAL ASSOCTATION OF THAILAND” Younger men with hair loss have a worse quality of life.
39 citations
,
April 2020 in “IntechOpen eBooks” Drug repurposing is a cost-effective way to find new uses for existing drugs, speeding up treatment development.
28 citations
,
January 2005 in “PubMed” Topical immunomodulators are effective and safe for treating immune-related skin conditions.
20 citations
,
December 2017 in “Journal of Investigative Dermatology Symposium Proceedings” Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.
18 citations
,
October 2012 in “Dermatologic Clinics” Early diagnosis and aggressive treatment are key for managing rare scalp disorders that cause permanent hair loss.
9 citations
,
January 2011 in “Skin Research and Technology” The new automatic tool accurately measures hair thickness and is reliable.
March 2026 in “Journal of Investigative Dermatology” Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
September 2025 in “Indian Dermatology Online Journal” Using baked goods as visual aids helps people understand skin conditions better.
September 2025 in “The Open Dermatology Journal” The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
April 2025 in “Indian Dermatology Online Journal” Bird-related analogies help explain and remember skin conditions better.