How machine learning is embedded to support clinician decision making: an analysis of FDA-approved medical devices

OBJECTIVE: To examine how and to what extent medical devices using machine learning (ML) support clinician decision making. METHODS: We searched for medical devices that were (1) approved by the US Food and Drug Administration (FDA) up till February 2020; (2) intended for use by clinicians; (3) in c...

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Detalles Bibliográficos
Autores principales: Lyell, David, Coiera, Enrico, Chen, Jessica, Shah, Parina, Magrabi, Farah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8054073/
https://www.ncbi.nlm.nih.gov/pubmed/33853863
http://dx.doi.org/10.1136/bmjhci-2020-100301

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8054073/
https://www.ncbi.nlm.nih.gov/pubmed/33853863
http://dx.doi.org/10.1136/bmjhci-2020-100301

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