ChatGPT Conquers the Saudi Medical Licensing Exam: Exploring the Accuracy of Artificial Intelligence in Medical Knowledge Assessment and Implications for Modern Medical Education.

Background The application of artificial intelligence (AI) in education is undergoing rapid advancements, with models such as ChatGPT-4 showing potential in medical education. This study aims to evaluate the proficiency of ChatGPT-4 in answering Saudi Medical Licensing Exam (SMLE) questions. Methodology A dataset of 220 questions across four medical disciplines was used. The model was trained using a specific code to answer the questions accurately, and its performance was assessed using key performance indicators, difficulty level, and exam sections. Results ChatGPT-4 demonstrated an overall accuracy of 88.6%. It showed high proficiency with Easy and Average questions, but accuracy decreased for Hard questions. Performance was consistent across all disciplines, indicating a broad knowledge base. However, an error analysis revealed areas for further refinement, particularly with category (Option) A questions across all sections. Conclusions This study underscores the potential of ChatGPT-4 as an AI-assisted tool in medical education, demonstrating high proficiency in answering SMLE questions. Future research is recommended to expand the scope of training and evaluation as well as to enhance the model's performance on complex clinical questions.

A Cross-Sectional Study on the Prevalence of Self-Prescribed Aspirin Use for Prevention of Adverse Ischemic Vascular Events Among Moderate-Risk Individuals: A Single Center Study.

Introduction Despite the overwhelming amount of evidence against the use of aspirin for primary prophylaxis of cardiovascular disease (CVD), the arguably unwarranted use of aspirin has increased over the years, which may or may not be based on any specific medical advice, and merely self-prescribed. Aim This study aimed to determine the prevalence of unwarranted aspirin use among moderate-risk individuals for the primary prevention of adverse vascular events in Saudi Arabia. Patient and method A cross-sectional study was conducted among 100 patients who presented to the emergency room (ER) due to suspected cardiac diseases. The data were collected from the patients who visited ER in King Fahad Hospital, Al-Hofuf, Saudi Arabia. Participants were asked about their socio-demographic characteristics, aspirin use habits, and their comorbidities. Results Of the 100 patients, 35% were aged more than 60 years old. The overall use of aspirin was 78%. The prevalence of aspirin use was significantly more common among the older age group (53.8%), those with associated chronic diseases, such as diabetes (59%) and hypertension (75.6%) and those with a previous history of hospitalization due to stroke or a cardiac event (66.7%). Conclusion The use of aspirin among patients who are at moderate risk of cardiovascular events was widely prevalent, but their unwarranted use was low. Older patients with chronic diseases who believed in its great benefit and tended to ignore its complications are the most common users of aspirin. More research is recommended to determine the prevalence and the factors associated with unwarranted use of aspirin in patients with CVD in our region.