预印本
医学教育
探索性研究
培训(气象学)
心理学
计算机科学
医学
万维网
社会学
人类学
物理
气象学
作者
Chenxu Wang,Shuhan Li,Nuoxi Lin,Xinyu Zhang,Ying Han,Xiandi Wang,Di Liu,Xiaomei Tan,Dan Pu,Kang Li,Guangwu Qian,Rong Yin
摘要
With the increasing interest in the application of large language models (LLMs) in the medical field, the feasibility of its potential use as a standardized patient in medical assessment is rarely evaluated. Specifically, we delved into the potential of using ChatGPT, a representative LLM, in transforming medical education by serving as a cost-effective alternative to standardized patients, specifically for history-taking tasks.
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