State Medical Licensing Examination
The State Medical Licensing Examination (SMLE) assesses the competency of medical professionals, and recent research focuses on evaluating the performance of large language models (LLMs), such as GPT-3.5 and GPT-4, on these exams across various medical specialties and languages. Studies are exploring not only the accuracy of LLMs in answering SMLE-style questions but also analyzing the types of errors they make and the impact of factors like prompt design and contextual information on their performance. This research is significant for improving medical education and assessment, potentially leading to more efficient and reliable methods for evaluating medical knowledge and identifying areas needing further development in both AI and medical training.
Papers
Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations
Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, Yutaro Yamada, Dragomir Radev
GPT-4 can pass the Korean National Licensing Examination for Korean Medicine Doctors
Dongyeop Jang, Tae-Rim Yun, Choong-Yeol Lee, Young-Kyu Kwon, Chang-Eop Kim