主管:国家卫生健康委员会
主办:国家卫生计生委医院管理研究所
中国科学引文数据库(CSCD)来源期刊
中国科技论文统计源期刊 中国科技核心期刊
《中文核心期刊要目总览》入选期刊

Chinese Nursing Management ›› 2026, Vol. 26 ›› Issue (8): 1258-1262.doi: 10.3969/j.issn.1672-1756.2026.08.026

• Digital Intelligence in Nursing • Previous Articles     Next Articles

Research progress on multimodal fusion technology in the assessment and staging of pressure injury

LIU Yan, ZENG Ying, LIN Shujie, ZHANG Yan, SONG Yunlian, RAO Yixun, ZHU Jizhe, NI Jian, XU Xiaowei   

  1. Department of Nursing, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
  • Online:2026-08-15 Published:2026-08-15
  • Contact: E-mail:1193066@zju.edu.cn

Abstract: Artificial Intelligence (AI) technology has gradually demonstrated its potential in the field of multimodal data fusion, providing new ideas for the intelligent assessment and precise staging of pressure injuries. This article conducts a literature review to determine the current status of AI-based multimodal data fusion methods and their applications in the management of pressure injuries, and analyze the future development trends to promote the intelligent management of pressure injuries.

Key words: pressure injury; Artificial Intelligence; multimodal; risk prediction; intelligent nursing; review

CLC Number: R47;R197