Exploring medical students' attitudes and perceptions toward artificial intelligence in medicine in Shandong Province, China
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View abstract on PubMed
Summary
This summary is machine-generated.Medical students in Shandong show positive views on artificial intelligence (AI) in education but have ethical concerns. Further research is needed to integrate AI effectively while addressing privacy and critical thinking worries.
Area Of Science
- Medical Education
- Artificial Intelligence
- Digital Health
Background
- The integration of artificial intelligence (AI) into medical education presents significant opportunities.
- Understanding medical students' attitudes toward AI is crucial for successful implementation.
- This study focuses on medical students in Shandong, China, to explore their perceptions of AI in education.
Purpose Of The Study
- To investigate the attitudes and perceptions of medical students in Shandong, China, regarding AI in medical education.
- To identify factors influencing these attitudes, including familiarity, perceived usefulness, ease of use, and ethical concerns.
- To inform the development of effective AI integration strategies in medical training.
Main Methods
- A cross-sectional survey was conducted with 788 medical students from five universities in Shandong, China.
- Questionnaires assessed AI familiarity, perceived usefulness (PU), perceived ease of use (PEU), and ethical concerns.
- Statistical analyses included descriptive statistics, independent t-tests, and one-way ANOVA.
Main Results
- High AI familiarity (47.33%) and usage (91.24%) were reported, with positive perceptions of PU (3.60 ± 0.85) and PEU (3.66 ± 0.76).
- Significant ethical concerns were identified, including privacy (48.48%), reduced critical thinking (61.93%), and academic integrity (55.84%).
- Male students and those in higher academic years showed greater AI competency but also increased ethical concerns.
Conclusions
- Shandong medical students exhibit cautious optimism towards AI adoption in education.
- There is a recognized need for robust ethical frameworks and operational safeguards for AI implementation.
- Curriculum adjustments and transparent governance are recommended to align AI with educational goals.
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