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Simulated patient systems powered by large language model-based AI agents offer potential for transforming medical education
5
Zitationen
26
Autoren
2025
Jahr
Abstract
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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Autoren
Institutionen
- Chinese University of Hong Kong(HK)
- University of Michigan(US)
- Stanford University(US)
- Harvard University(US)
- Artificial Intelligence in Medicine (Canada)(CA)
- Cornell University(US)
- Peking University(CN)
- Peking University Third Hospital(CN)
- Shandong University(CN)
- Qilu Hospital of Shandong University(CN)
- Rutgers, The State University of New Jersey(US)
- Broad Institute(US)
- University of Hong Kong(HK)
- Chinese Academy of Medical Sciences & Peking Union Medical College(CN)
- Peking Union Medical College Hospital(CN)
- University of Ottawa(CA)
- Peking University Sixth Hospital(CN)