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Open questions and research gaps for monitoring and updating AI-enabled tools in clinical settings
As the implementation of artificial intelligence (AI)-enabled tools is realized across diverse clinical environments, there is a growing understanding of the need for ongoing monitoring and updating of prediction models. Dataset shift—temporal changes in clinical practice, patient populations, and i...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478183/ https://www.ncbi.nlm.nih.gov/pubmed/36120717 http://dx.doi.org/10.3389/fdgth.2022.958284 |