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南京医科大学学报（社会科学版）京医科大学学报（社会科学版）
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Journal of Nanjing Medical University（Social Sciences）of Nanjing Medical University（Social Sciences） 2026年6月
Journal

Application of biomedical big data⁃driven artificial intelligence

teaching platform in medical education reform

1 1 1 2
CAO Lei ，CHEN Yan ，YAN Sunhong ，CHEN Bo
1. Department of Neurology，The Second Affiliated Hospital of Anhui Medical University，Hefei 230601；
2. Department of General Surgery，The First Affiliated Hospital of Anhui Medical University，Hefei 230032，China
Abstract：Biomedical big data is an important foundation for advancing precision medicine，disease
prediction and early warning，and innovation in medical education. The integration of biomedical big data with
artificial intelligence（AI）technologies represents a pivotal approach to construct a comprehensive and adaptive
training system for medical students. By developing an AI ⁃ empowered integrated teaching platform that
integrates five core modules，including structured medical record automatic generation，competency profiling，
knowledge ⁃ based question answering，intelligent assessment，and decision ⁃ making，this study enrolled and
trained 200 students who rotated in the Department of Neurology at the Second Affiliated Hospital of Anhui
Medical University，while evaluating the platform’s application efficacy. Results demonstrated that students in
the observation group achieved significantly higher scores than those in the control group across dimensions
such as perceived ease of use，perceived usefulness，and learning engagement. Additionally，the platform
demonstrated ideal outcomes in terms of optimal path selection rate and average completion time in decision⁃
making simulations，performance in knowledge⁃based interactive question answering，application accuracy，and
response speed. This innovative teaching model enhanced students’comprehensive clinical competencies，
refined their diagnostic and therapeutic reasoning，and strengthened their ability to conduct standardized
diagnosis and treatment. Concurrently，students developed a deeper understanding of the breadth and depth of
medicine，ultimately achieving desirable educational outcomes. Therefore，the AI ⁃ empowered，large ⁃ model
collaborative teaching system based on biomedical big data provides a new paradigm for delivering precise and
adaptive medical education.
Key words：biomedical big data；artificial intelligence；practical teaching；neurology；multimodal data