Deployment of machine learning algorithms to predict sepsis: systematic review and application of the SALIENT clinical AI implementation framework

OBJECTIVE: To retrieve and appraise studies of deployed artificial intelligence (AI)-based sepsis prediction algorithms using systematic methods, identify implementation barriers, enablers, and key decisions and then map these to a novel end-to-end clinical AI implementation framework. MATERIALS AND...

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Detalles Bibliográficos
Autores principales: van der Vegt, Anton H, Scott, Ian A, Dermawan, Krishna, Schnetler, Rudolf J, Kalke, Vikrant R, Lane, Paul J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280361/
https://www.ncbi.nlm.nih.gov/pubmed/37172264
http://dx.doi.org/10.1093/jamia/ocad075

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280361/
https://www.ncbi.nlm.nih.gov/pubmed/37172264
http://dx.doi.org/10.1093/jamia/ocad075

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