5 citations
,
April 2024 in “JAAD International” AI can accurately measure hair loss severity in alopecia areata.
6 citations
,
April 2000 in “Plastic and Reconstructive Surgery” The document suggests fixing bad hair transplants by removing large hair plugs and replacing them with smaller ones, considering the natural progression of hair loss, and emphasizing the need for ethical judgment in hair transplantation.
15 citations
,
February 2003 in “British Journal of Dermatology” The study suggests computer-assisted analysis of scalp biopsies could improve hair loss diagnosis but needs more validation.
January 2026 in “Open Science Framework” AI in alopecia research needs better tools for predicting treatment outcomes and ensuring fairness.
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.
17 citations
,
August 1971 in “Journal of Investigative Dermatology” August 2002 in “British journal of ophthalmology” Surgical excision is the best treatment for SCC, but intralesional cidofovir might be a viable alternative.
14 citations
,
January 2006 in “Australasian journal of dermatology” Alopecia areata can look like frontal fibrosing alopecia, making diagnosis hard.
5 citations
,
January 2025 in “Burns & Trauma” Machine learning and single-cell analysis improve understanding and treatment of wound healing.
May 2013 in “Proceedings of SPIE” Researchers created a system that accurately aligns laser beams automatically.