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.
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.
50 citations,
December 2011 in “Skin Research and Technology” The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
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.
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.
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.
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.
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.
January 2016 in “Springer eBooks” The conclusion is that using the 5W1H method can improve diagnosis and management of childhood hair-pulling disorder.
89 citations,
December 2010 in “The Journal of Dermatology” The conclusion is that an algorithm using trichoscopy helps diagnose different types of hair loss but may need updates and a biopsy if results are unclear.
47 citations,
June 2017 in “Journal of dermatology” New treatments for alopecia areata show promise, but no cure exists and responses to treatments vary.
4 citations,
August 2021 in “Pediatric dermatology” Biotin, alone or with minoxidil, effectively treats short anagen syndrome.
November 2023 in “Journal of Dermatological Science” A new computer tool quickly measures hair thickness differences in people with common types of hair loss.
A rapid screening method using trichoscopy and clinical data can improve diagnosis and treatment of tinea capitis.
October 2023 in “Sinkron” The system can accurately classify hair diseases with 94.5% accuracy using a CNN.
18 citations,
March 2018 in “Archives of Plastic Surgery” The superficial temporal artery flap is a reliable method for reconstructing complex facial defects with minimal complications.
16 citations,
March 2018 in “Plastic and Reconstructive Surgery – Global Open” Early surgical treatment for severe facial injuries from high-energy impacts leads to better recovery.
1 citations,
September 2023 in “Dermatology and therapy” More research is needed to find the best treatment for dissecting cellulitis of the scalp.
3 citations,
May 2023 in “Precision clinical medicine” Researchers found four genes that could help diagnose severe alopecia areata early.
1 citations,
July 2022 in “JEADV Clinical Practice” New and existing treatments for hair loss show promise, with some being more effective for men and others for women.
52 citations,
February 2018 in “Diabetology & Metabolic Syndrome” Some skin conditions may indicate metabolic syndrome, which could help with early detection and management of related health issues.
April 2024 in “Pharmacoepidemiology and drug safety (Print)” The algorithm accurately identified alopecia in women of childbearing age using claims data.
The new algorithm removes hair from skin images better than previous methods, helping diagnose melanoma.
10 citations,
September 2020 in “Computational and Mathematical Methods in Medicine” Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
1 citations,
July 2012 in “ACM transactions on graphics” The new algorithm accurately captures both facial hair and skin in 3D using a camera-based system.
November 2021 in “Frontiers in Genetics” The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.
26 citations,
February 2016 in “Respiratory Medicine” Auto-antibody testing is a useful but not definitive tool in diagnosing interstitial lung diseases, and using a specific algorithm could make testing more cost-effective.