The “Ecosystem as a Service (EaaS)” approach to advance clinical artificial intelligence (cAI)

The application of machine learning and artificial intelligence to clinical settings for prevention, diagnosis, treatment, and the improvement of clinical care have been demonstrably cost-effective. However, current clinical AI (cAI) support tools are predominantly created by non-domain experts and...

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Detalles Bibliográficos
Autores principales: Ishii-Rousseau, Julian Euma, Seino, Shion, Ebner, Daniel K., Vareth, Maryam, Po, Ming Jack, Celi, Leo Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Opinion
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931236/
https://www.ncbi.nlm.nih.gov/pubmed/36812508
http://dx.doi.org/10.1371/journal.pdig.0000011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931236/
https://www.ncbi.nlm.nih.gov/pubmed/36812508
http://dx.doi.org/10.1371/journal.pdig.0000011

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