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Artificial Intelligence and Skin Melanoma.
Levell, Nick J; Thomas, Lucy.
Afiliação
  • Levell NJ; Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, UK. Electronic address: nick.levell@nnuh.nhs.uk.
  • Thomas L; Chelsea and Westminster Hospital NHS Foundation Trust, London, UK.
Clin Dermatol ; 2024 Jun 26.
Article em En | MEDLINE | ID: mdl-38942155
ABSTRACT
Melanoma is the deadliest skin cancer, presenting typically with changing pigmented areas and usually treated with surgical removal. As benign cutaneous pigmented lesions are very common in all populations, it can be challenging to identify which areas should be cut out or left untreated. Delayed treatment in melanoma increases the risk of death, but it is not possible to remove all lesions. Dermatoscopy uses polarised light and can be used to help distinguish melanomas from benign lesions. Dermatoscopy images with a confirmed diagnosis can be utilized to develop artificial intelligence as a medical device (AIaMD) tool. This contribution discusses the utilization of artificial intelligence (AI) in melanoma management and describes an AIaMD tool that has been used in current UK clinical practice on over 80,000 patients. This is a springboard for discussing the scope, risks, and mitigations for future AI use by all clinicians involved in managing people with melanoma.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Clin Dermatol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Clin Dermatol Ano de publicação: 2024 Tipo de documento: Article