XIE Jing, LIU Jiuchang. Frontier Case Analysis of Artificial Intelligence Powered Medical Education Reform in the United States and Its Inspirations. 2025. biomedRxiv.202503.00054
Frontier Case Analysis of Artificial Intelligence Powered Medical Education Reform in the United States and Its Inspirations
Corresponding author: LIU Jiuchang, liujccams@163.com
DOI: 10.12201/bmr.202503.00054
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Abstract: Purpose/Significance Artificial Intelligence is catalyzing a new round of medical education reform led by the United States and a paradigm shift towards precision education. These breakthroughs can provide practical implications to the AI-powered medical education in China. Method/Process Being at the forefront of AI-augmented medical education, the innovative initiatives and progress at Harvard Medical School and New York University Grossman School of Medicine are introduced and analyzed, to offer referential experiences. Result/Conclusion A more pro-active strategy should be taken to boost AI-enabled medical education reform in China, with the aim to further unleash the potential of AI to enhance education quality and efficiency, to build an intelligent and precision medical education system, and to train AI-enabled physicians of the future. Institutions should strengthen the digital technology infrastructure to facilitate this AI-featured transformation. Principals and guidance should be put into place to unsure safety, ethics and fairness in the application of AI.
Key words: Artificial; Intelligence (AI), medical education reform, competency-based medical education, precision medical education; ;Submit time: 18 March 2025
Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity. -
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