Assuring the safety of AI-based clinical decision support systems: a case study of the AI Clinician for sepsis treatment

OBJECTIVES: Establishing confidence in the safety of Artificial Intelligence (AI)-based clinical decision support systems is important prior to clinical deployment and regulatory approval for systems with increasing autonomy. Here, we undertook safety assurance of the AI Clinician, a previously publ...

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Detalles Bibliográficos
Autores principales: Festor, Paul, Jia, Yan, Gordon, Anthony C, Faisal, A Aldo, Habli, Ibrahim, Komorowski, Matthieu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289024/
https://www.ncbi.nlm.nih.gov/pubmed/35851286
http://dx.doi.org/10.1136/bmjhci-2022-100549

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289024/
https://www.ncbi.nlm.nih.gov/pubmed/35851286
http://dx.doi.org/10.1136/bmjhci-2022-100549

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