How to apply evidence-based practice to the use of artificial intelligence in radiology (EBRAI) using the data algorithm training output (DATO) method

OBJECTIVE: As the number of radiology artificial intelligence (AI) papers increases, there are new challenges for reviewing the AI literature as well as differences to be aware of, for those familiar with the clinical radiology literature. We aim to introduce a tool to aid in this process. METHODS:...

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Detalles Bibliográficos
Autores principales: Kelly, Brendan S, Judge, Conor, Hoare, Siobhan, Colleran, Gabrielle, Lawlor, Aonghus, Killeen, Ronan P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Institute of Radiology. 2023
Materias:
AI in imaging and therapy: innovations ethics and impact: Short Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10546467/
https://www.ncbi.nlm.nih.gov/pubmed/37086062
http://dx.doi.org/10.1259/bjr.20220215

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10546467/
https://www.ncbi.nlm.nih.gov/pubmed/37086062
http://dx.doi.org/10.1259/bjr.20220215

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