RESUMO
Background Artificial intelligence (AI) is a broad spectrum of computer-executed operations that mimics the human intellect. It is expected to improve healthcare practice in general and radiology in particular by enhancing image acquisition, image analysis, and processing speed. Despite the rapid development of AI systems, successful application in radiology requires analysis of social factors such as the public's perspectives toward the technology. Objectives The current study aims to investigate the general population's perspectives on AI implementation in radiology in the Western region of Saudi Arabia. Methods A cross-sectional study was conducted from November 2022 and July 2023 utilizing a self-administrative online survey distributed via social media platforms. A convenience sampling technique was used to recruit the study participants. After obtaining Institutional Review Board approval, data were collected from citizens and residents of the western region of Saudi Arabia aged 18 years or older. Results A total of 1,024 participants were included in the present study, with the mean age of respondents being 29.6 ± 11.3. Of them, 49.9% (511) were men, and 50.1% (513) were women. The comprehensive mean score of the first four domains among our participants was 3.93 out of 5.00. Higher mean scores suggest being more negative regarding AI in radiology, except for the fifth domain. Respondents had less trust in AI utilization in radiology, as evidenced by their overall distrust and accountability domain mean score of 3.52 out of 5. The majority of respondents agreed that it is essential to understand every step of the diagnostic process, and the mean score for the procedural knowledge domain was 4.34 out of 5. The mean score for the personal interaction domain was 4.31 out of 5, indicating that the participants agreed on the value of direct communication between the patient and the radiologist for discussing test results and asking questions. Our data show that people think AI is more effective than human doctors in making accurate diagnoses and decreasing patient wait times, with an overall mean score of the efficiency domain of 3.56 out of 5. Finally, the fifth domain, "being informed," had a mean score of 3.91 out of 5. Conclusion The application of AI in radiologic assessment and interpretation is generally viewed negatively. Even though people think AI is more efficient and accurate at diagnosing than humans, they still think that computers will never be able to match a specialist doctor's years of training.
RESUMO
Background While magnetic resonance imaging (MRI) is one of the most efficient diagnostic methods used today, some patients may find an MRI examination to be a frightening experience. The proximity to the machine during screening and being in a confined space can cause a feeling of claustrophobia. Severe anxiety during MRI screening can cause the patient to move, which lowers the quality of the imaging and diagnostic test, and can result in the early termination of the MRI examination and the patient declining further testing. Objectives The objective of this study is to evaluate MRI examination-associated anxiety among Saudi Arabia's general population in the western region of the country. Methods Altogether, 465 participants who had undergone an MRI examination in the western region of Saudi Arabia were recruited for this cross-sectional study. We used the Magnetic Resonance Imaging-Anxiety Questionnaire (MRI-AQ) to collect data. Results Regarding anxiety symptoms, 82.8% of the participants believed that they had control over the event, 80.2% were concerned beforehand, 74% required more specific information, just 48% had difficulty breathing, and 51% were panicked. On the other hand, 57.4% felt safe, 56.8% were calm, and 49.2% were relaxed. The majority of the participants (55.9%, 260) reported moderate MRI-related anxiety. Conclusion More than half of our respondents had mild to moderate MRI-related anxiety. The majority needed more detailed information, panicked, and had breathing problems. Statistically, females showed a significantly higher level of anxiety compared with male participants.