Review of Artificial Intelligence Training Tools and Courses for Radiologists

Michael L. Richardson, Scott J. Adams, Atul Agarwal, William F. Auffermann, Anup K. Bhattacharya, Nikita Consul, Joseph S. Fotos, Linda C. Kelahan, Christine Lin, Hao S. Lo, Xuan V. Nguyen, Lonie R. Salkowski, Jessica M. Sin, Robert C. Thomas, Shafik Wassef, Ichiro Ikuta

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1238-1252
Number of pages15
JournalAcademic Radiology
Issue number9
StatePublished - Sep 2021

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging


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