Review of Artificial Intelligence Training Tools and Courses for Radiologists.
Article
Richardson, Michael L, Adams, Scott J, Agarwal, Atul et al. (2021). Review of Artificial Intelligence Training Tools and Courses for Radiologists.
. ACADEMIC RADIOLOGY, 28(9), 1238-1252. 10.1016/j.acra.2020.12.026
Richardson, Michael L, Adams, Scott J, Agarwal, Atul et al. (2021). Review of Artificial Intelligence Training Tools and Courses for Radiologists.
. ACADEMIC RADIOLOGY, 28(9), 1238-1252. 10.1016/j.acra.2020.12.026
Richardson, Michael L; Adams, Scott J; Agarwal, Atul; Auffermann, William F; Bhattacharya, Anup K; Consul, Nikita; Fotos, Joseph S; Kelahan, Linda C; Lin, Christine; Lo, Hao S; Nguyen, Xuan V; Salkowski, Lonie R; Sin, Jessica M; Thomas, Robert C; Wassef, Shafik; Ikuta, Ichiro
Artificial intelligence (AI) systems play an increasingly important role in all parts of the imaging chain, from image creation to image interpretation to report generation. In order to responsibly manage radiology AI systems and make informed purchase decisions about them, radiologists must understand the underlying principles of AI. Our task force was formed by the Radiology Research Alliance (RRA) of the Association of University Radiologists to identify and summarize a curated list of current educational materials available for radiologists.
