一致性
妇产科学
考试(生物学)
产科
妇科
医学
怀孕
内科学
遗传学
生物
古生物学
作者
Zuhal Yapıcı Çoşkun,Yavuz Selim Kıyak,Özlem Çoşkun,Işıl İrem Budakoğlu,Özhan Özdemir
标识
DOI:10.1080/0142159x.2025.2497888
摘要
Large language models can generate SCT items that effectively assess clinical reasoning; however, further refinement is required to ensure the appropriate level of difficulty for medical students. These findings highlight the potential of AI to enhance the efficiency of SCT generation in obstetrics and gynecology within primary care settings.
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