Review of Artificial Intelligence Training Tools and Courses for Radiologists

Richardson, Michael L.; Lo, Hao S.

Name:

Publisher version

Authors

Richardson, Michael L.
Lo, Hao S.

UMass Chan Affiliations

Department of Radiology

Document Type

Journal Article

Publication Date

2021-03-10

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.

Source

Richardson ML, Adams SJ, Agarwal A, Auffermann WF, Bhattacharya AK, Consul N, Fotos JS, Kelahan LC, Lin C, Lo HS, Nguyen XV, Salkowski LR, Sin JM, Thomas RC, Wassef S, Ikuta I. Review of Artificial Intelligence Training Tools and Courses for Radiologists. Acad Radiol. 2021 Mar 10:S1076-6332(21)00061-1. doi: 10.1016/j.acra.2020.12.026. Epub ahead of print. PMID: 33714667. Link to article on publisher's site

DOI

10.1016/j.acra.2020.12.026

Permanent Link to this Item

http://hdl.handle.net/20.500.14038/48501

PubMed ID

33714667

Notes

Full author list omitted for brevity. For the full list of authors, see article.

Related Resources

Link to Article in PubMed

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Radiology Publications