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http://dx.doi.org/10.1111/dth.13420 | DOI Listing |
Cancers (Basel)
January 2025
Department of Biomedical Sciences and Engineering, National Central University, Taoyuan 320, Taiwan.
Background: Skin cancer is the most common cancer worldwide, with melanoma being the deadliest type, though it accounts for less than 5% of cases. Traditional skin cancer detection methods are effective but are often costly and time-consuming. Recent advances in artificial intelligence have improved skin cancer diagnosis by helping dermatologists identify suspicious lesions.
View Article and Find Full Text PDFJ Family Med Prim Care
November 2024
Department of Dermatology, King Fahad Medical City (KFMC), Riyadh, Saudi Arabia.
Vitiligo, a prevalent cutaneous depigmentation disorder, often leads individuals to seek cosmetic remedies such as dihydroxyacetone (DHA)-infused camouflage makeup. Wood's lamp, a common diagnostic tool in dermatology, is typically employed to assess vitiligo lesions, revealing DHA-induced fluorescence in a distinct salmon color, contrasting with the bright blue-white fluorescence exhibited by vitiligo lesions. Erythrasma, a bacterial infection of the epidermis, is known for its unique bright coral-pink or coral-red fluorescence under Wood's lamp.
View Article and Find Full Text PDFExp Dermatol
December 2024
Computer Science & Engineering Department, MNNIT Allahabad, Prayagraj, Uttar Pradesh, India.
Skin cancer remains one of the most common and deadly forms of cancer, necessitating accurate and early diagnosis to improve patient outcomes. In order to improve classification performance on unbalanced datasets, this study proposes a distinctive approach for classifying skin cancer that utilises both machine learning (ML) and deep learning (DL) methods. We extract features from three different DL models (DenseNet201, Xception, Mobilenet) and concatenate them to create an extensive feature set.
View Article and Find Full Text PDFBMC Health Serv Res
December 2024
Open Medical Ltd, London, UK.
Background: The UK's National Health Service (NHS) is grappling with rising demand and limited dermatologists, leading to longer waiting times. This is particularly concerning for conditions like malignant melanoma, where early diagnosis is crucial. Teledermatology is being introduced to address these issues, but its impact on patients' monetary and time costs, especially in deprived areas, is under-researched.
View Article and Find Full Text PDFSkin Appendage Disord
December 2024
Department of Dermatology, The University of Texas Medical Branch, Galveston, TX, USA.
Background: Trichotillomania (TTM), also known as hair pulling disorder, is a chronic disorder that often leads to considerable emotional distress and functional impairment in affected individuals. Despite the strong underlying psychiatric component of TTM, the majority of individuals suffering from TTM initially may present to dermatologists because of their hair loss. This necessitates awareness and early recognition of TTM as well as familiarity with the unique considerations for its management.
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