Wu Miao, Du Xianjin, Gu Raymond, Wei Jie
Department of Emergency, Renmin Hospital of Wuhan University, Wuhan, China.
Department of Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, China.
Front Med (Lausanne). 2021 May 13;8:665464. doi: 10.3389/fmed.2021.665464. eCollection 2021.
Sepsis is one of the main causes of death in critically ill patients. Despite the continuous development of medical technology in recent years, its morbidity and mortality are still high. This is mainly related to the delay in starting treatment and non-adherence of clinical guidelines. Artificial intelligence (AI) is an evolving field in medicine, which has been used to develop a variety of innovative Clinical Decision Support Systems. It has shown great potential in predicting the clinical condition of patients and assisting in clinical decision-making. AI-derived algorithms can be applied to multiple stages of sepsis, such as early prediction, prognosis assessment, mortality prediction, and optimal management. This review describes the latest literature on AI for clinical decision support in sepsis, and outlines the application of AI in the prediction, diagnosis, subphenotyping, prognosis assessment, and clinical management of sepsis. In addition, we discussed the challenges of implementing and accepting this non-traditional methodology for clinical purposes.
脓毒症是重症患者主要的死亡原因之一。尽管近年来医疗技术不断发展，但其发病率和死亡率仍然很高。这主要与治疗启动延迟和临床指南的不依从有关。人工智能（AI）是医学领域一个不断发展的领域，已被用于开发各种创新的临床决策支持系统。它在预测患者临床状况和协助临床决策方面显示出巨大潜力。人工智能衍生算法可应用于脓毒症的多个阶段，如早期预测、预后评估、死亡率预测和优化管理。本综述描述了关于人工智能用于脓毒症临床决策支持的最新文献，并概述了人工智能在脓毒症的预测、诊断、亚表型分析、预后评估和临床管理中的应用。此外，我们还讨论了将这种非传统方法用于临床目的时在实施和接受方面所面临的挑战。
