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. 2022 Oct 28;12(6):852-866.
doi: 10.3390/clinpract12060090.

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

Ahmad A Mirza  1   2 , Omar M Wazgar  3 , Ammar A Almaghrabi  4 , Roaa M Ghandour  5 , Sarah A Alenizi  6 , Abdulrahim A Mirza  7 , Khalid S Alraddadi  8 , Fayzah H Al-Adwani  8 , Mohammed A Alsakkaf  9 , Sattam M Aljuaid  10
Affiliations

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

Ahmad A Mirza et al. Clin Pract. .

Abstract

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.

Keywords: Saudi Arabia; artificial intelligence; diagnostic imaging; education; radiology.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The current levels of use of AI radiology. The vertical axis represents the current level of use of AI. The horizontal axis represents the number of participants. LoU: level of use; AI: artificial intelligence.
Figure 2
Figure 2
Perceived impact of AI on the different steps of standard radiology workflow. Bars represent the mean level of perceived impact, on a scale of 1 to 5 (1, no impact; 5, drastic impact), for AI on the given step of standard radiology workflow. EMR: electronic medical record; SD: standard deviation.
Figure 3
Figure 3
Attitudes regarding AI impact on the radiology profession. Bars represent the number of participants who perceived the impact of AI as being positive or very positive on the given aspect of the radiology profession.
See this image and copyright information in PMC

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