ASSESSING PREPAREDNESS AND EXPERIENCES IN AI AMONG MEDICAL GRADUATES: A PILOT STUDY
Keywords:
Artificial Intelligence, AI, Medical student, Higher education, preparednessAbstract
Artificial Intelligence (AI) has the potential to enhance healthcare systems and support medical professionals. Despite its growing applications in medicine, the integration of AI into medical education remains underexplored. This pilot study assessed the preparedness of the National Défense University of Malaysia (NDUM) medical graduates in using AI in their practice. A survey using the Medical Artificial Intelligence Preparedness Scale for Medical Students (MAIRS-MS) was conducted among 43 graduates of the NDUM. The questionnaire included demographic data and AI readiness assessment. Data were analysed using SPSS version 20, descriptive analysis was performed on demographic data, while the Mann-Whitney U Test, Spearman correlation, and Kruskal-Wallis Test were used for statistical analysis. A total of 43 respondents participated, with the majority of of the respondents were male and had used AI primarily for assignments. The total MAIRS-MS mean score was 52.53 ± 14.20 out of 110. Mean scores for cognition, ability, vision, and ethics domains were 16.91 ± 5.99, 20.14 ± 5.55, 7.93 ± 2.46, and 7.56 ± 2.18, respectively. A significant correlation was found between age and cognition. The findings highlight the need for early AI exposure in medical education to prepare students for future roles in healthcare.
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