AI-RADS: Successes and challenges of a novel artificial intelligence curriculum for radiologists across different delivery formats

INTRODUCTION: Artificial intelligence and data-driven predictive modeling have become increasingly common tools integrated in clinical practice, heralding a new chapter of medicine in the digital era. While these techniques are poised to affect nearly all aspects of medicine, medical education as an...

Descripción completa

Detalles Bibliográficos
Autores principales: Lindqwister, Alexander L., Hassanpour, Saeed, Levy, Joshua, Sin, Jessica M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Medical Technology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845918/
https://www.ncbi.nlm.nih.gov/pubmed/36688145
http://dx.doi.org/10.3389/fmedt.2022.1007708

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845918/
https://www.ncbi.nlm.nih.gov/pubmed/36688145
http://dx.doi.org/10.3389/fmedt.2022.1007708

Ejemplares similares