A New Model of Clinical Medicine Teaching in Remote High-altitude Areas along the Western Border Empowered by Artificial Intelligence Technology (AIT)

Authors

  • Ning Du The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
  • Deji Zhuoga Ali Prefecture People's Hospital, Ali Prefecture, Tibet, China
  • Yuanping Xue Ali Prefecture People's Hospital, Ali Prefecture, Tibet, China
  • Yong Yuan Ali Prefecture People's Hospital, Ali Prefecture, Tibet, China
  • Gongsang Mingjiu Ali Prefecture People's Hospital, Ali Prefecture, Tibet, China

DOI:

https://doi.org/10.61360/

Keywords:

Artificial intelligence technology, Border, High altitude, Clinical medicine, Teaching, Practice

Abstract

With the increasing maturity of artificial intelligence technology (AIT), its applications in various fields are constantly expanding, evolving from simple informatization and digitalization to more precise and comprehensive intelligent development, which is especially reflected in the field of clinical medicine teaching. This paper focuses on the application of artificial intelligence technology (AIT) in clinical medicine teaching in the remote high-altitude areas along the border of Ali in Tibet. It analyzes the difficulties faced by clinical medicine teaching in this area due to geographical, resource, teaching staff and scarcity of medical cases, elaborates on the application models and advantages of artificial intelligence technology in theoretical teaching, practical teaching, teaching management and evaluation, presents the achievements with examples, and looks forward to its future development, aiming to provide a comprehensive and in-depth reference for improving the quality of clinical medicine teaching in this area.

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Published

2025-01-24

Issue

Section

Research Articles

How to Cite

A New Model of Clinical Medicine Teaching in Remote High-altitude Areas along the Western Border Empowered by Artificial Intelligence Technology (AIT). (2025). Contemporary Education and Teaching Research, 6(1), 28-32. https://doi.org/10.61360/

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