The Use of Artificial Intelligence in Medical Imaging: A Nationwide Pilot Survey of Trainees in Saudi Arabia

Artificial intelligence is dramatically transforming medical imaging. In Saudi Arabia, there are a lack of studies assessing the level of artificial intelligence use and reliably determining the perceived impact of artificial intelligence on the radiology workflow and the profession. We assessed the...

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Bibliographic Details
Published in:	Clinics and practice Vol. 12; no. 6; pp. 852 - 866
Main Authors:	Mirza, Ahmad A., Wazgar, Omar M., Almaghrabi, Ammar A., Ghandour, Roaa M., Alenizi, Sarah A., Mirza, Abdulrahim A., Alraddadi, Khalid S., Al-Adwani, Fayzah H., Alsakkaf, Mohammed A., Aljuaid, Sattam M.
Format:	Journal Article
Language:	English
Published:	Bari MDPI AG 28-10-2022 MDPI
Subjects:	Artificial intelligence Data science diagnostic imaging education Knowledge Medical imaging Perceptions Questionnaires radiology Regression analysis Saudi Arabia Statistical analysis Technology Acceptance Model Variables Variance analysis Saudi Arabia United States > US
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Summary:	Artificial intelligence is dramatically transforming medical imaging. In Saudi Arabia, there are a lack of studies assessing the level of artificial intelligence use and reliably determining the perceived impact of artificial intelligence on the radiology workflow and the profession. We assessed the levels of artificial intelligence use among radiology trainees and correlated the perceived impact of artificial intelligence on the workflow and profession with the behavioral intention to use artificial intelligence. This cross-sectional study enrolled radiology trainees from Saudi Arabia, and a 5-part-structured questionnaire was disseminated. The items concerning the perceived impact of artificial intelligence on the radiology workflow conformed to the six-step standard workflow in radiology, which includes ordering and scheduling, protocoling and acquisition, image interpretation, reporting, communication, and billing. We included 98 participants. Few used artificial intelligence in routine practice (7%). The perceived impact of artificial intelligence on the radiology workflow was at a considerable level in all radiology workflow steps (range, 3.64–3.97 out of 5). Behavioral intention to use artificial intelligence was linearly correlated with the perceptions of its impact on the radiology workflow and on the profession (p < 0.001). Artificial intelligence is used at a low level in radiology. The perceived impact of artificial intelligence on radiology workflow and the profession is correlated to an increase in behavioral intention to use artificial intelligence. Thus, increasing awareness about the positive impact of artificial intelligence can improve its adoption.
ISSN:	2039-7283 2039-7275 2039-7283
DOI:	10.3390/clinpract12060090