Implementation of artificial intelligence for the detection of cutaneous melanoma within a primary care setting: prevalence and types of skin cancer in outdoor enthusiasts

BACKGROUND: There is enthusiasm for implementing artificial intelligence (AI) to assist clinicians detect skin cancer. Performance metrics of AI from dermoscopic images have been promising, with studies documenting sensitivity and specificity values equal to or superior to specialists for the detect...

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Detalles Bibliográficos
Autores principales: Miller, Ian J., Stapelberg, Michael, Rosic, Nedeljka, Hudson, Jeremy, Coxon, Paul, Furness, James, Walsh, Joe, Climstein, Mike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Dermatology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416769/
https://www.ncbi.nlm.nih.gov/pubmed/37576493
http://dx.doi.org/10.7717/peerj.15737

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416769/
https://www.ncbi.nlm.nih.gov/pubmed/37576493
http://dx.doi.org/10.7717/peerj.15737

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