人工智能在重症护理领域中应用的范围综述

doi:10.3761/j.issn.2096-7446.2026.09.008

Abstract

Abstract:

Objective To systematically synthesize the current research status，application scenarios，technical challenges，and future development directions of artificial intelligence（AI） in the field of critical care. This review aims to provide novel research perspectives and theoretical foundations for the in-depth integration of AI and critical care，thereby promoting improvements in patient prognosis and healthcare quality. Methods Using the scoping review framework proposed by Arksey et al.，relevant literature was searched in databases such as PubMed，Web of Science，CNKI，and Wanfang Database，with the search period up to April 30，2025，and a total of 17 articles were ultimately included. Results The applications of AI in critical care primarily focus on five core domains，including monitoring and early warning systems，clinical decision support systems，documentation automation，resource allocation optimization，and predictive analysis models. The primary challenges include data fragmentation in AI models，limited generalization capability，the need to improve medical staff’s acceptance and practical skills with AI tools，as well as ethical and privacy concerns. Conclusion The integration of AI into critical care can significantly optimize workflow efficiency and enhance work performance. Future research should prioritize the establishment of multi-center data sharing platforms，the refinement of interdisciplinary collaboration mechanisms，and the design of patient-centered AI systems，to fully unleash the value of AI in improving the quality and efficiency of critical care services.

Key words: Artificial Intelligence, Critical Care, Machine Learning, Clinical Decision Support, Scoping Review

YU Yanchao, GAO Xin, WENG Fengxia, WEI Jianhua, SANG Ming, ZHU Yongkang, CHEN Xiaoyan. Application of artificial intelligence in critical care：a scoping review[J]. Chinese Journal of Emergency and Critical Care Nursing, 2026, 7(9): 1082-1088.

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References 29

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Application of artificial intelligence in critical care：a scoping review

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