RADIATION PROTECTION BULLETIN ›› 2026, Vol. 46 ›› Issue (2): 44-48.

• Progress and commentary • Previous Articles    

Research on the application of knowledge graphs in nuclear emergency medicalrescue field

GUO Shanshan, HOU Bei, GAO Yan, ZHU Yanan, LIANG Yingfeng, LIU Liu   

  1. Rocket Force Characteristic Medical Center, Beijing 100088
  • Received:2025-11-27 Online:2026-04-20 Published:2026-05-07

Abstract: As a novel form of knowledge organization, knowledge graphs have enhanced the efficiency, accuracy, and intelligence of emergency medical rescue in the nuclear and radiation field. This paper introduces the concept of knowledge graphs, the key technologies for constructing knowledge graphs in the field of nuclear emergency medical rescue, and analyzes their applications in this field, aiming to provide references for further enhancing the application of knowledge graphs in this area.

Key words: nuclear emergency, medical rescue, knowledge graph, artificial intelligence

CLC Number: 

  • R81