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Radiologists’ satisfaction and engagement with artificial intelligence software

https://doi.org/10.25881/18110193_2024_1_70

Abstract

The purpose of this study was to evaluate the radiologists’ engagement and satisfaction with artificial intelligence software as a means to support medical decision-making.
A survey of radiologists working in public healthcare facilities under the Moscow Healthcare Department was conducted in 2021 and 2022.
The survey was completed by 333 radiologists in 2021, and by 342 – in 2022. The respondents were CT, MRI, X-ray and MMG specialists of various age and clinical experience. The study found that the physicians’ engagement rate with artificial intelligence more than doubled in 2022 vs. 2021. An assessment of satisfaction with the artificial intelligence technologies in routine clinical practice showed that in 2022 vs. 2021, the opinions shifted from the extreme “excellent” and “unsatisfactory” rates towards moderate “good” and “satisfactory”.
The findings show that artificial intelligence technologies require further improvement from both clinical and technical standpoint, public perception and also as an educational tool for physicians who use artificial intelligence in their routine clinical practice

About the Authors

Yu. A. Vasilev
State Budget-Funded Health Care Institution of the City of Moscow «Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department»
Russian Federation

PhD



V. V. Zinchenko
State Budget-Funded Health Care Institution of the City of Moscow «Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department»
Russian Federation


N. D. Kudryavtsev
State Budget-Funded Health Care Institution of the City of Moscow «Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department»
Russian Federation


A. A. Mikhailova
State Budget-Funded Health Care Institution of the City of Moscow «Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department»
Russian Federation


V. G. Klyashtorny
State Budget-Funded Health Care Institution of the City of Moscow «Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department»
Russian Federation

PhD



A. V. Vladzymyrksyy
State Budget-Funded Health Care Institution of the City of Moscow «Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department»
Russian Federation

DSc



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Review

For citations:


Vasilev Yu.A., Zinchenko V.V., Kudryavtsev N.D., Mikhailova A.A., Klyashtorny V.G., Vladzymyrksyy A.V. Radiologists’ satisfaction and engagement with artificial intelligence software. Medical Doctor and Information Technologies. 2024;(1):70-81. (In Russ.) https://doi.org/10.25881/18110193_2024_1_70

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ISSN 1811-0193 (Print)
ISSN 2413-5208 (Online)