BackgroundForeign body aspiration (FBA) is a life-threatening event and one of the most common causes of mortality in children. As it has different clinical presentations, parental knowledge is essential for early management to prevent complications. ObjectivesThis study was designed to assess the knowledge and practices relating to FBA in children among parents living in Makkah city, Saudi Arabia. MethodsAn online questionnaire was designed using Google Forms (Google LLC, Mountain View, California, United States) and distributed in October 2022 among parents living in Makkah city. After data collection, an appropriate statistical analysis was conducted. ResultsA total of 1087 parents enrolled in this study; 63.9% were women and the majority were married 93%. Additionally, 52% of the parents had at least three children. Moreover, 17.6% had an experience of a child having aspirated a foreign body once. The Internet was the most popular source of information on FBA (43.5%). Furthermore, the parents had poor levels of knowledge and practices related to FBA (65.4% and 78.6%, respectively). ConclusionThis study reported that parental levels of knowledge of FBA and FBA practices were inadequate. There is a need to increase awareness, which will lead to better outcomes.

BackgroundWhile 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. ObjectivesThe objective of this study is to evaluate MRI examination-associated anxiety among Saudi Arabia's general population in the western region of the country. MethodsAltogether, 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. ResultsRegarding 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. ConclusionMore 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.

BackgroundArtificial 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. ObjectivesThe current study aims to investigate the general population's perspectives on AI implementation in radiology in the Western region of Saudi Arabia. MethodsA 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. ResultsA 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. ConclusionThe 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.