An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education

OBJECTIVES: Currently, hurdles to implementation of artificial intelligence (AI) in radiology are a much-debated topic but have not been investigated in the community at large. Also, controversy exists if and to what extent AI should be incorporated into radiology residency programs. METHODS: Betwee...

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Detalles Bibliográficos
Autores principales: Huisman, Merel, Ranschaert, Erik, Parker, William, Mastrodicasa, Domenico, Koci, Martin, Pinto de Santos, Daniel, Coppola, Francesca, Morozov, Sergey, Zins, Marc, Bohyn, Cedric, Koç, Ural, Wu, Jie, Veean, Satyam, Fleischmann, Dominik, Leiner, Tim, Willemink, Martin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111651/
https://www.ncbi.nlm.nih.gov/pubmed/33974148
http://dx.doi.org/10.1007/s00330-021-07782-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111651/
https://www.ncbi.nlm.nih.gov/pubmed/33974148
http://dx.doi.org/10.1007/s00330-021-07782-4

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