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Semin Musculoskelet Radiol 2020; 24(01): 74-80
DOI: 10.1055/s-0039-3400270
Review Article
Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Artificial Intelligence in Radiology Residency Training

Michael C. Forney 
1   Section of Musculoskeletal Imaging, Imaging Institute, Cleveland Clinic, Cleveland, Ohio
2   Department of Radiology, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, Ohio
,
Aaron F. McBride
1   Section of Musculoskeletal Imaging, Imaging Institute, Cleveland Clinic, Cleveland, Ohio
› Author Affiliations
Further Information

Publication History

Publication Date:
28 January 2020 (online)

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Abstract

Artificial intelligence (AI) is an emerging technology that brings a wide array of new tools to the field of radiology. AI will certainly have an impact on the day-to-day work of radiologists in the coming decades, thus training programs must prepare radiology residents adequately for their future careers. Radiology training programs should aim to give residents an understanding of the fundamentals and types of AI in radiology, the broad areas AI can be applied in radiology, how to assess AI applications in radiology, and resources available to build their knowledge in IA applications in radiology.

Keywords

artificial intelligence - residency - radiology - training
 

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