Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare

Machine learning (ML) and artificial intelligence (AI) algorithms have the potential to derive insights from clinical data and improve patient outcomes. However, these highly complex systems are sensitive to changes in the environment and liable to performance decay. Even after their successful inte...

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Detalles Bibliográficos
Autores principales: Feng, Jean, Phillips, Rachael V., Malenica, Ivana, Bishara, Andrew, Hubbard, Alan E., Celi, Leo A., Pirracchio, Romain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156743/
https://www.ncbi.nlm.nih.gov/pubmed/35641814
http://dx.doi.org/10.1038/s41746-022-00611-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156743/
https://www.ncbi.nlm.nih.gov/pubmed/35641814
http://dx.doi.org/10.1038/s41746-022-00611-y

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