Application of AI-empowered scenario-based simulation teaching mode in cardiovascular disease education.

Journal: BMC medical education
PMID:

Abstract

BACKGROUND: Cardiovascular diseases present a significant challenge in clinical practice due to their sudden onset and rapid progression. The management of these conditions necessitates cardiologists to possess strong clinical reasoning and individual competencies. The internship phase is crucial for medical students to transition from theory to practical application, with an emphasis on developing clinical thinking and skills. Despite the critical need for education on cardiovascular diseases, there is a noticeable gap in research regarding the utilization of artificial intelligence in clinical simulation teaching.

Authors

  • Koulong Zheng
    Nantong University, Qi Xiu Road, Nantong, Jiangsu, 226007, China.
  • Zhiyu Shen
    Nantong University, Qi Xiu Road, Nantong, Jiangsu, 226007, China.
  • Zanhao Chen
    Nantong University, Qi Xiu Road, Nantong, Jiangsu, 226007, China.
  • Chang Che
    Nantong University, Qi Xiu Road, Nantong, Jiangsu, 226007, China.
  • Huixia Zhu
    Nantong University, Qi Xiu Road, Nantong, Jiangsu, 226007, China. zhuhuixia@ntu.edu.cn.