Simulated patient systems powered by large language model-based AI agents offer potential for transforming medical education

Large language model-based simulated patient systems provide accurate, readable, and reliable medical encounters and demonstrates potential to transform medical education.

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Publication Details

Journal
Communications Medicine
Published
2025-12-19
DOI
https://doi.org/10.1038/s43856-025-01283-x
Citations
5
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
3.27

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Simulated patient systems powered by large language model-based AI agents offer potential for transforming medical education

Huizi Yu, Jiayan Zhou, Themistocles L. Assimes, Lingyao Li et al.
5 citations
Communications Medicine
Artificial Intelligence in Healthcare and Education
3.27
article

Simulated patient systems powered by large language model-based AI agents offer potential for transforming medical education

Huizi Yu, Jiayan Zhou, Themistocles L. Assimes, Lingyao Li, Zahra Azizi, Jack Gallifant, Danielle S. Bitterman, Jie Sun, Wenyue Hua, Qi Dou, Jingxian He, Xin Ma, Bryan P. Yan, Lizhou Fan, Lin Lü, Mingyu Jin, Shan Chen, Trisha Gupte, Yongfeng Zhang, Xiang Li, Ming‐Li Chen, Zhao Li, Yang Zhou, Guang Chen, Yanqiu Xing, Anye Shi
article en
5 citations

Abstract

Large language model-based simulated patient systems provide accurate, readable, and reliable medical encounters and demonstrates potential to transform medical education.

Communications MedicineVol. 6(1)
Rutgers, The State University of New Jersey (US), Broad Institute (US), Harvard University (US), University of Ottawa (CA), Shandong University (CN), Chinese University of Hong Kong (HK), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN), Cornell University (US), University of Michigan (US), Peking Union Medical College Hospital (CN), Peking University Third Hospital (CN), Qilu Hospital of Shandong University (CN), Peking University Sixth Hospital (CN), Artificial Intelligence in Medicine (Canada) (CA), University of Hong Kong (HK), Stanford University (US)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, National Institutes of Health
Openalex Percentile: Top 7%
Artificial Intelligence in Healthcare and Education
3.27
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