Human–machine teaming is key to AI adoption: clinicians’ experiences with a deployed machine learning system

While a growing number of machine learning (ML) systems have been deployed in clinical settings with the promise of improving patient care, many have struggled to gain adoption and realize this promise. Based on a qualitative analysis of coded interviews with clinicians who use an ML-based system fo...

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Detalles Bibliográficos
Autores principales: Henry, Katharine E., Kornfield, Rachel, Sridharan, Anirudh, Linton, Robert C., Groh, Catherine, Wang, Tony, Wu, Albert, Mutlu, Bilge, Saria, Suchi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Brief Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304371/
https://www.ncbi.nlm.nih.gov/pubmed/35864312
http://dx.doi.org/10.1038/s41746-022-00597-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304371/
https://www.ncbi.nlm.nih.gov/pubmed/35864312
http://dx.doi.org/10.1038/s41746-022-00597-7

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