11 citations
,
August 2003 in “Plastic and Reconstructive Surgery” Hair restoration in children, tailored to their specific needs, can yield good aesthetic results with minimal complications.
8 citations
,
October 2018 in “Journal of The American Academy of Dermatology” The review suggests there's no agreed treatment for Frontal Fibrosing Alopecia, but hydroxychloroquine and 5a-reductase inhibitors are most effective. New treatments like platelet-rich plasma and LED light could help if standard treatments fail.
2 citations
,
January 2012 Androgenetic alopecia is the only hair loss condition with specific diagnostic criteria in trichoscopy.
May 2022 in “Journal of Cosmetic Dermatology” The authors suggest a method for hair transplantation in fibrosing alopecia pattern distribution to improve treatment outcomes and cover bald areas.
January 2024 in “Wiadomości Lekarskie” Start with medication, then add therapy for treating psychosomatic disorders.
January 2022 in “European Proceedings of Life Sciences” Understanding genetic traits can help doctors create personalized detox and nutrition plans to boost antioxidant protection.
50 citations
,
December 2011 in “Skin Research and Technology” The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
31 citations
,
May 2018 in “Seminars in Plastic Surgery” An algorithm was created to simplify lip reconstruction after surgery.
22 citations
,
August 2010 in “Annals of Plastic Surgery” The study concluded that reconstructive surgery for burn alopecia should be tailored to the scar's size and quality, with different methods recommended for different cases.
7 citations
,
July 2022 in “Plastic & Reconstructive Surgery” Thorough cleaning of the skull is key for successful scalp injury reconstruction.
6 citations
,
July 2022 in “Biomedical Signal Processing and Control” The new hair removal algorithm for skin images works better for detecting and fixing hair, improving melanoma diagnosis.
5 citations
,
February 2025 in “Journal of Clinical Medicine” A new method improves alopecia diagnosis using non-invasive steps.
1 citations
,
January 2021 in “SISTEMASI” Multi-thresholding is the best method for separating hair from skin in laser hair removal.
June 2025 in “Jurnal Bumigora Information Technology (BITe)” Naive Bayes algorithm can help predict hair loss risk early.
September 2024 in “Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi” XGBoost can effectively diagnose PCOS with 87% accuracy.
April 2024 in “Archives of Dermatological Research” The approach improves scalp surgery results by tailoring techniques to defect size and location.
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.
20 citations
,
September 2020 in “International journal of computer applications” The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
5 citations
,
July 2023 in “Journal of Autonomous Intelligence” Artificial neural networks can accurately diagnose Alopecia Areata.
2 citations
,
October 2021 in “Journal of Mind and Medical Sciences” Early screening and HPV vaccination reduce cervical cancer risk.
1 citations
,
October 2021 in “Indian Journal of Plastic Surgery” The paper offers a clear guide for diagnosing and treating hair loss, helping surgeons decide on hair transplant timing and extent.
January 2026 in “Forum Dermatologicum” Thorough hair examination is crucial for accurate diagnosis and treatment.
September 2025 in “Journal of Cutaneous Medicine and Surgery”
July 2025 in “Journal of the European Academy of Dermatology and Venereology” A new treatment plan helps manage folliculitis decalvans effectively.
A unified approach is needed to better diagnose and manage Telogen Effluvium, focusing on education, empathy, and safe treatments.
July 2025 in “Scientific Reports” Pioglitazone, Trimipramine, and Dimetindene may be repurposed to treat psoriasis.
April 2025 in “Journal of Cosmetic Dermatology” The AI device accurately grades scalp exfoliation and can help diagnose scalp disorders.
The model accurately predicts hair loss by analyzing various factors.
July 2023 in “Dermatology practical & conceptual” The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
June 2023 in “International journal on recent and innovation trends in computing and communication” Combining multiple algorithms predicts hair fall more accurately than using single algorithms.