ABSTRACT
Artificial intelligence (AI) is a broad, umbrella term that encompasses the theory and development of computer systems able to perform tasks normally requiring human intelligence. The aim of this study is to assess the radiology community's attitude in Saudi Arabia toward the applications of AI. METHODS: Data for this study were collected using electronic questionnaires in 2019 and 2020. The study included a total of 714 participants. Data analysis was performed using SPSS Statistics (version 25). RESULTS: The majority of the participants (61.2%) had read or heard about the role of AI in radiology. We also found that radiologists had statistically different responses and tended to read more about AI compared to all other specialists. In addition, 82% of the participants thought that AI must be included in the curriculum of medical and allied health colleges, and 86% of the participants agreed that AI would be essential in the future. Even though human-machine interaction was considered to be one of the most important skills in the future, 89% of the participants thought that it would never replace radiologists. CONCLUSION: Because AI plays a vital role in radiology, it is important to ensure that radiologists and radiographers have at least a minimum understanding of the technology. Our finding shows an acceptable level of knowledge regarding AI technology and that AI applications should be included in the curriculum of the medical and health sciences colleges.
ABSTRACT
PURPOSE: To assess the knowledge and attitudes of Saudi patients toward the safety of magnetic resonance imaging (MRI). METHODS: A cross-sectional study was conducted on 142 Saudi patients at King Khalid hospital, Asir, Saudi Arabia. Data were collected using a self-questionnaire based on MRI safety issues gained from the literature. The questionnaire was divided into two sections, one containing the respondents' sociodemographic information and the other assessing their knowledge and attitudes toward participating in MRI. RESULTS: A total of 142 patients responded to the survey, and their average age was 31.5 ± 4 years. The majority were married and held a bachelor's degree. The mean knowledge score regarding MRI safety was 0.29 ± 0.25, which reflects poor knowledge, whereas the attitude score was 0.67 ± 0.20, reflecting a moderately positive attitude. Awareness and attitude among patients improved as education levels increased. Finally, only 53.5% of the respondents were aware of the noise produced by the MRI scanner. CONCLUSION: This study demonstrated that the awareness of MRI safety among patients in the Asir Region is poor, although they showed positive attitudes toward the issue. Thus, education is necessary for patients to improve awareness of MRI safety to facilitate MRI examinations, which will help decrease scan time and image artefacts.
