Artificial Intelligence-Powered Clinical Decision Support and Simulation Platform for Radiology Trainee Education

Technological tools can redesign traditional approaches to radiology education, for example, with simulation cases and via computer-generated feedback. In this study, we investigated the use of an AI-powered, Bayesian inference-based clinical decision support (CDS) software to provide automated “rea...

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Detalles Bibliográficos
Autores principales: Shah, Chintan, Davtyan, Karapet, Nasrallah, Ilya, Bryan, R Nick, Mohan, Suyash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9590389/
https://www.ncbi.nlm.nih.gov/pubmed/36279026
http://dx.doi.org/10.1007/s10278-022-00713-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9590389/
https://www.ncbi.nlm.nih.gov/pubmed/36279026
http://dx.doi.org/10.1007/s10278-022-00713-9

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