From compute to care: Lessons learned from deploying an early warning system into clinical practice

BACKGROUND: Deploying safe and effective machine learning models is essential to realize the promise of artificial intelligence for improved healthcare. Yet, there remains a large gap between the number of high-performing ML models trained on healthcare data and the actual deployment of these models...

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Detalles Bibliográficos
Autores principales: Pou-Prom, Chloé, Murray, Joshua, Kuzulugil, Sebnem, Mamdani, Muhammad, Verma, Amol A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Digital Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483018/
https://www.ncbi.nlm.nih.gov/pubmed/36133802
http://dx.doi.org/10.3389/fdgth.2022.932123

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9483018/
https://www.ncbi.nlm.nih.gov/pubmed/36133802
http://dx.doi.org/10.3389/fdgth.2022.932123

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