Rationale and Objectives
The introduction of AI in radiology has prompted both excitement and hesitation within
the field. We performed a systematic review of original studies evaluating the attitudes
of radiologists, radiology trainees, and medical students towards AI in radiology.
Materials and Methods
We searched PubMed for studies published as of August 24, 2021 for original studies
evaluating attitudes of radiologists (attendings and trainees) and medical students
towards AI in radiology. We summarized the baseline article characteristics and performed
thematic analysis of the questions asked in each study.
Results
Nineteen studies were included evaluating attitudes across different levels of training
(medical students, radiology trainees, and radiology attendings) with representation
from nearly every continent. Medical students and radiologists alike favored increased
educational initiatives, and displayed interest in learning about and implementing
AI solutions themselves, despite reporting of a current gap in formal AI training.
There was general optimism about the role of AI in radiology, although radiologists
and trainees had greater consensus than medical students.
Conclusion
Although there is interest in incorporating AI into medical education and optimism
among radiologists towards AI, medical students are more divided in their views. We
propose that outreach to and AI education for medical students may help improve their
attitudes towards the potentially transformative technology of AI for radiology.
KEY WORDS
Abbreviations:
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Article info
Publication history
Published online: January 29, 2022
Accepted:
December 30,
2021
Received in revised form:
December 30,
2021
Received:
November 18,
2021
Identification
Copyright
© 2022 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.
