关键词: 人工智能, 医学生, 准备度, 现状, 影响因素

Abstract: Objective　To explore the current status of medical students' readiness for artificial intelligence (AI) and its influencing factors, providing support for medical colleges to carry out exploration and practical operations of AI-empowered medical education.Methods　A convenience sampling method was used to conduct a questionnaire survey among undergraduate medical students at a medical college in Beijing. The questionnaire, based on the Medical Students' AI Readiness Scale, assessed the students' AI readiness. Additionally, drawing on two models—the Task-Technology Fit Theory and the Technology Acceptance Model—the study explored how factors such as technical characteristics and user psychology influence medical students' AI readiness.Results　A total of 265 valid questionnaires were collected, and 78.9% of the medical students had used AI. The total score of the students' AI readiness was (79.88±18.00) points. Among the dimensions, the cognitive dimension scored (26.76±8.20) points, which was lower than the ability dimension. Significant differences in AI readiness were observed across gender, academic year, and major (P<0.05). Perceived ease of use and task-technology fit had a significant positive impact on medical students' AI readiness.Conclusion　Medical colleges should adopt a student-centered approach, design AI-related medical courses, and integrate them into basic teaching and clinical practice to systematically improve medical students' AI literacy.

Key words: artificial intelligence, medical students, readiness, current status, influencing factor