BackgroundDementia is a public health concern and the main cause of impairment and dependency among the elderly worldwide. It is characterized by a progressive decline in cognition, memory, and all domains of quality of life with preserving the level of consciousness. Accurate measurement of dementia knowledge among future health professionals is required to improve targeted educational initiatives and supportive care of patients. This study aimed to assess knowledge of dementia and its associated factors among health college students in Saudi Arabia. MethodsA descriptive, cross-sectional study was conducted among health college students from various regions in Saudi Arabia. Data on sociodemographic characteristics and dementia knowledge were gathered using a standardized study questionnaire Dementia Knowledge Assessment Scale (DKAS) distributed on different social media platforms. Data analysis was carried out using IBM SPSS Statistics for Windows, Version 24.0 (IBM Corp., Armonk, NY, USA) statistical software. A P-value of <0.05 was considered significant. ResultsA total of 1,613 participants were included in the study. The mean age was 20.5 ± 2.5 years (range 18-25 years). The majority of them were males (64.9%), and females represented 35.1%. The mean knowledge score of the participants was 13.68 ± 3.18 (out of 25). According to DKAS subscales, we found that the respondents scored the highest in care considerations (4.17 ± 1.30) and the lowest in risks and health promotion (2.89 ± 1.96). Furthermore, we found that the participants with no previous dementia exposure had a significantly higher level of knowledge than those with previous dementia exposure. In addition, we found that both genders, aged 19, 21, 22, 23, 24, and 25 years; the geographic distribution of respondents; and previous dementia exposure significantly affected the DKAS score. ConclusionsOur findings showed that health college students in Saudi Arabia had poor knowledge about dementia. Ongoing health education and comprehensive academic training are recommended to improve their knowledge and provide competent care for dementia patients.

Background The use of artificial intelligence (AI) in healthcare continues to spark interest and has been the subject of extensive discussion in recent years as well as its potential effects on future medical specialties, including radiology. In this study, we aimed to study the impact of AI on the preference of medical students at Jazan University in choosing radiology as a future specialty. Methodology An observational cross-sectional study was conducted using a pre-tested self-administered online questionnaire among medical students at Jazan University. Data were cleaned, coded, entered, and analyzed using SPSS (SPSS Inc., USA) version 25. Statistical significance was defined as a P-value of less than 0.05. We examined the respondents' preference for radiology rankings with the presence and absence of AI. Radiology's ranking as a preferred specialty with or without AI integration was statistically analyzed for associations with baseline characteristics, personal opinions, and previous exposures among those who had radiology as one of their top three options. Results Approximately 27.4% of males and 28.3% of females ranked radiology among their top three preferred choices. Almost 65.2% were exposed to radiology topics through pre-clinical lectures. The main sources of information about AI for the studied group were medical students (41%) and the Internet (27.5%). The preference of students for radiology was significantly affected when it is assessed by AI (P < 0.05). Around (16.1%) of those who chose radiology as one of their top three choices strongly agree that AI will decrease the job opportunities for radiologists. Logistic regression analysis showed that being a female is significantly associated with an increased chance to replace radiology with other specialty when it is integrated with AI (Crude odds ratio (COR) = 1.91). Conclusion Our results demonstrated that the students’ choices were significantly affected by the presence of AI. Thereover, to raise medical students' knowledge and awareness of the potential positive effects of AI, it is necessary to organize an educational campaign, webinars, and conferences.