ArticleActa radiologica open2020
Evaluation of radiologist's knowledge about the Artificial Intelligence in diagnostic radiology: a survey-based study.
Article in Acta radiologica open, 2020. 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.
- Perspectives of radiologists in Ghana about the emerging role of artificial intelligence in radiology.Heliyon · 2023Article
- Assessment of Awareness, Perceptions, and Opinions towards Artificial Intelligence among Healthcare Students in Riyadh, Saudi Arabia.Medicina (Kaunas, Lithuania) · 2023Article
- Awareness of Artificial Intelligence in Medical Imaging Among Radiologists and Radiologic Technologists.Cureus · 2023Article
- Hospital-wide survey of clinical experience with artificial intelligence applied to daily chest radiographs.PloS one · 2023Article
- The Use of Artificial Intelligence in Medical Imaging: A Nationwide Pilot Survey of Trainees in Saudi Arabia.Clinics and practice · 2022Article
- The current state of knowledge on imaging informatics: a survey among Spanish radiologists.Insights into imaging · 2022Article
- Article
- Saudi Radiology Personnel's Perceptions of Artificial Intelligence Implementation: A Cross-Sectional Study.Journal of multidisciplinary healthcare · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdvanced developments in diagnostic radiology have provided a rapid increase in the number of radiological investigations worldwide. Recently, Artificial Intelligence (AI) has been applied in diagnostic radiology. The purpose of developing such applications is to clinically validate and make them feasible for the current practice of diagnostic radiology, in which there is less time for diagnosis. PURPOSE: To assess radiologists' knowledge about AI's role and establish a baseline to help in providing educational activities on AI in diagnostic radiology in Saudi Arabia. MATERIAL AND
methodsAn online questionnaire was designed using QuestionPro software. The study was conducted in large hospitals located in different regions in Saudi Arabia. A total of 93 participants completed the questionnaire, of which 32 (34%) were trainee radiologists from year 1 to year 4 (R1-R4) of the residency programme, 33 (36%) were radiologists and fellows, and 28 (30%) were consultants.
resultsThe responses to the question related to the use of AI on a daily basis illustrated that 76 (82%) of the participants were not using any AI software at all during daily interpretation of diagnostic images. Only 17 (18%) reported that they used AI software for diagnostic radiology.
conclusionThere is a significant lack of knowledge about AI in our residency programme and radiology departments at hospitals. Due to the rapid development of AI and its application in diagnostic radiology, there is an urgent need to enhance awareness about its role in different diagnostic fields.
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