Artificial Intelligence for Clinical Decision Support in Sepsis

Frontiers in Medicine

Xianjin Du¹  Jie Wei²  Miao Wu²  Raymond Gu³ 

[1] Department of Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, China;Department of Emergency, Renmin Hospital of Wuhan University, Wuhan, China;Department of Surgery, State University of New York Upstate Medical University, Syracuse, NY, United States;

关键词: sepsis;    artificial intelligence;    machine learning;    deep learning;    early prediction;   

DOI  :  10.3389/fmed.2021.665464

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

CC BY