December 2025 in “Skin Appendage Disorders” Patients found AI helpful for alopecia diagnosis but want it to support, not replace, doctors.
November 2025 in “Journal of Clinical Medicine” Baricitinib significantly improved hair regrowth and quality of life in severe alopecia areata patients.
October 2025 in “Pediatric Dermatology” UVFD helps quickly diagnose hair loss conditions in children.
September 2025 in “International Journal of Medical Informatics” A machine learning model can predict scarring in lichen planopilaris using factors like vitamin D levels and diagnostic delay.
July 2025 in “Clinical Dermatology Review” PRP significantly boosts hair growth in androgenic alopecia patients.
June 2025 in “British Journal of Dermatology” Trichoscopy is highly effective for diagnosing scalp disorders and should be used more in dermatology.
Trichoscopy is a valuable tool for accurately diagnosing scalp conditions without invasive procedures.
May 2025 in “Indian Dermatology Online Journal” Trichoscopy is crucial for diagnosing rare genetic hair disorders.
May 2025 in “Apollo Medicine” Trichoscopy is a useful tool for diagnosing and assessing the severity of alopecia areata.
May 2025 in “IP Indian Journal of Clinical and Experimental Dermatology” Trichoscopy is useful for early detection and monitoring of female pattern hair loss.
April 2025 in “Clinical Dermatology Review” Trichoscopy is effective for diagnosing hair and scalp disorders without invasive biopsies.
March 2025 in “Forum Dermatologicum” Trichoscopy is crucial for accurately diagnosing fibrosing alopecia in pattern distribution.
January 2025 in “Clinical Dermatology Review” Trichoscopy helps accurately diagnose Netherton syndrome, often mistaken for atopic dermatitis.
January 2025 in “Journal of Case Reports and Scientific Images” Early recognition and treatment of scalp demodicosis can prevent misdiagnosis and effectively resolve symptoms.
December 2024 in “Archiv Euromedica” Trichoscopy is essential for diagnosing and treating autoimmune cicatricial alopecia early.
December 2024 in “IntechOpen eBooks” Trichoscopy helps diagnose and track alopecia areata by examining specific hair and scalp markers.
October 2024 in “INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH” Trichoscopy can help diagnose Vitamin B12, Vitamin D3, and ferritin deficiencies without blood tests.
September 2024 in “Dermatology Reports” Sonidegib often causes hair loss, and LC-OCT helps identify early signs.
September 2024 in “Indian Journal of Dermatology” Trichoscopy effectively diagnoses and assesses the severity of androgenetic alopecia.
August 2024 in “Research Journal of Health Sciences” Normal scalp and hair characteristics in Black Africans include white dots and a honeycomb pattern.
July 2024 in “Skin Appendage Disorders” Early detection of scalp signs can prevent permanent scarring in Lichen Planopilaris.
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.
March 2024 in “Journal of clinical medicine” Trichoscopy shows hair diameter variability, vellus hairs, and the peripilar sign are key indicators for diagnosing Androgenetic Alopecia.
Trichoscopy is effective for tracking treatment progress in hair loss when used by an experienced doctor.
January 2024 in “Pan African Medical Journal” Non-scarring hair loss is common in lupus patients and can be diagnosed with specific hair and tissue tests.
December 2023 in “Portuguese journal of dermatology and venereology” Trichoscopy can reliably distinguish between alopecia areata and trichotillomania.
November 2023 in “Laser therapy” Trichoscopy is essential for diagnosing and managing alopecia areata in children.
November 2023 in “International Journal of Dermatology” Trichoscopy helps tell apart other hair loss conditions from common hair loss.
August 2023 in “Asian journal of pharmaceutical and clinical research” Intense Pulsed Light is an effective and safe hair removal method for people with excessive hair growth.
July 2023 in “Dermatology practical & conceptual” The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.