A "Bumper-Car" Curriculum for Teaching Deep Learning to Radiology Residents.

Journal: Academic radiology

PMID: 35379477

Abstract

RATIONALE AND OBJECTIVES: Our goal was to create an artificial intelligence (AI) training curriculum for residents that taught them to create, train, evaluate and refine deep learning (DL) models. Hands-on training of models was emphasized and didactic presentations of the mathematical and programmatic underpinnings of DL were minimized.

Authors

Michael L Richardson

Department of Radiology, University of Washington, Seattle, WA. Electronic address: mrich@uw.edu.
Patricia I Ojeda

Department of Radiology, University of Virginia, Charlottesville, Virginia. Electronic address: ojeda.patt@gmail.com.

Keywords

Artificial Intelligence Automobiles Curriculum Deep Learning Humans Internship and Residency Radiology

External Resources

View on PubMed Access via DOI PubMed (35379477)

A "Bumper-Car" Curriculum for Teaching Deep Learning to Radiology Residents.

Abstract

Authors

Keywords

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