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Review of Artificial Intelligence Training Tools and Courses for Radiologists

Authors :
Robert C. Thomas
Xuan V. Nguyen
Joseph S. Fotos
Nikita Consul
Lonie R. Salkowski
William F. Auffermann
Ichiro Ikuta
Atul Agarwal
Shafik N. Wassef
Hao S. Lo
Linda C. Kelahan
Scott J. Adams
Jessica M. Sin
Anup K. Bhattacharya
Christine Lin
Michael L. Richardson
Source :
Academic Radiology. 28:1238-1252
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

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.

Details

ISSN :
10766332
Volume :
28
Database :
OpenAIRE
Journal :
Academic Radiology
Accession number :
edsair.doi.dedup.....fda3c26e6ab741dd22107521db2bb599