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

cited authors

  • 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

authors

abstract

  • 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.

publication date

  • September 1, 2021

published in

keywords

  • Artificial Intelligence
  • Humans
  • Radiography
  • Radiologists
  • Radiology

Digital Object Identifier (DOI)

Medium

  • Print-Electronic

start page

  • 1238

end page

  • 1252

volume

  • 28

issue

  • 9