Utilization of AI Among Medical Students and the Construction of AI Education Platform in Medical Schools in China: A Cross-Sectional Investigation (Preprint)

Abstract

<sec> <title>UNSTRUCTURED</title> Objective: To investigate the current status of the construction of artificial intelligence (AI) medical education platforms in medical schools and student feedback, and to understand the practical needs of medical students at different stages and from different disciplines regarding AI-empowered medical education, in order to provide guidance for better construction of intelligent medical education platforms. Methods: An anonymous self-administered online questionnaire was conducted, focusing on the current use of AI-assisted learning by medical students, feedback on the construction of intelligent medical education platforms by their respective schools, and expected functionalities. Statistical analysis was conducted using SPSS 27.0, with a significance level set at P=0.05 for all tests. Results: A total of 428 valid questionnaires were collected. The average frequency of AI-assisted learning among medical students was (5.06±0.10) times per week. Over 80% of students used more than two AI tools in their daily study and work. The average satisfaction score with the intelligent education platforms at their schools was (72.23±21.84), with significant individual differences. Students from different disciplines, education stages, and academic systems exhibited different usage patterns and expectations for the platforms. Conclusion: AI technology is widely accepted by medical students and is extensively applied. There are significant differences in usage patterns among students from different disciplines, education stages, and academic systems. Understanding the actual needs of students is crucial for the construction of intelligent medical education platforms. </sec>

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