Enhancing medical students' diagnostic accuracy of infectious keratitis with AI-generated images.

Journal: BMC medical education
Published Date: Jul 9, 2025

Abstract

BACKGROUND: Developing students' ability to accurately diagnose various types of keratitis is challenging. This study aims to compare the effectiveness of teaching methods-real cases, artificial intelligence (AI)-generated images, and real medical images-on improving medical students' diagnostic accuracy of bacterial, fungal, and herpetic keratitis.

Authors

  • Wenjia Xie
    Department of Ophthalmology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 310000, Hangzhou, China.
  • Zhouhang Yuan
    Department of Ophthalmology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 310000, Hangzhou, China.
  • Yuxuan Si
    College of Computer Science and Technology, Zhejiang University, Hangzhou, China.
  • Zhengxing Huang
    College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China.
  • Yingming Li
    Zhejiang University, 38 Zheda Road, Hangzhou 310058, China.
  • Fei Wu
    Zhejiang University, 38 Zheda Road, Hangzhou 310058, Zhejiang, China.
  • Yu-Feng Yao
    Department of Ophthalmology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 310000, Hangzhou, China. yaoyf@zju.edu.cn.

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