Real-world post-deployment performance of a novel machine learning-based digital health technology for skin lesion assessment and suggestions for post-market surveillance

INTRODUCTION: Deep Ensemble for Recognition of Malignancy (DERM) is an artificial intelligence as a medical device (AIaMD) tool for skin lesion assessment. METHODS: We report prospective real-world performance from its deployment within skin cancer pathways at two National Health Service hospitals (...

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Detalles Bibliográficos
Autores principales: Thomas, Lucy, Hyde, Chris, Mullarkey, Dan, Greenhalgh, Jack, Kalsi, Dilraj, Ko, Justin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645139/
https://www.ncbi.nlm.nih.gov/pubmed/38020164
http://dx.doi.org/10.3389/fmed.2023.1264846

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645139/
https://www.ncbi.nlm.nih.gov/pubmed/38020164
http://dx.doi.org/10.3389/fmed.2023.1264846

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