ArticleClinics and practice2022
The Use of Artificial Intelligence in Medical Imaging: A Nationwide Pilot Survey of Trainees in Saudi Arabia.
Article in Clinics and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Evaluating Dental Students' Perspectives on Artificial Intelligence (AI)-Driven Large Language Models in Education in Saudi Arabia.European journal of dental education : official journal of the Association for Dental Education in Europe · 2026Article
- Evaluation of health professionals' perceptions on the use of artificial intelligence in radiology: a questionnaire-based study.BMC medical education · 2025Article
- Exploring Curriculum Considerations to Prepare Future Radiographers for an AI-Assisted Health Care Environment: Protocol for Scoping Review.JMIR research protocols · 2025Article
- Artificial intelligence awareness and perceptions among pediatric orthopedic surgeons: A cross-sectional observational study.World journal of orthopedics · 2024Article
- Assessment of Saudi Public Perceptions and Opinions towards Artificial Intelligence in Health Care.Medicina (Kaunas, Lithuania) · 2024Article
- Attitude and Understanding of Artificial Intelligence Among Saudi Medical Students: An Online Cross-Sectional Study.Journal of multidisciplinary healthcare · 2024Article
- Assessment of Awareness, Perceptions, and Opinions towards Artificial Intelligence among Healthcare Students in Riyadh, Saudi Arabia.Medicina (Kaunas, Lithuania) · 2023Article
- Perception and Impact of AI on Education Journey of Medical Students and Interns in Western Region, KSA: A Cross-Sectional Study.Journal of medical education and curricular developmentArticle
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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