How does artificial intelligence in radiology improve efficiency and health outcomes?

Since the introduction of artificial intelligence (AI) in radiology, the promise has been that it will improve health care and reduce costs. Has AI been able to fulfill that promise? We describe six clinical objectives that can be supported by AI: a more efficient workflow, shortened reading time, a...

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Detalles Bibliográficos
Autores principales: van Leeuwen, Kicky G., de Rooij, Maarten, Schalekamp, Steven, van Ginneken, Bram, Rutten, Matthieu J. C. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Artificial Intelligence in Pediatric Radiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537124/
https://www.ncbi.nlm.nih.gov/pubmed/34117522
http://dx.doi.org/10.1007/s00247-021-05114-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537124/
https://www.ncbi.nlm.nih.gov/pubmed/34117522
http://dx.doi.org/10.1007/s00247-021-05114-8

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