DOI: 10.1515/mr-2023-0039
The application of artificial intelligence in the management of sepsis
Jie Yang1
Sicheng Hao2
Jiajie Huang1
Tianqi Chen1
Ruoqi Liu3
Ping Zhang3
Mengling Feng4
Yang He1
Wei Xiao1
Yucai Hong1
Zhongheng Zhang1
1.Department of Emergency Medicine,Sir Run Run Shaw Hospital,Zhejiang University School of Medicine,Hangzhou,Zhenjiang Province,China2.Duke University School of Medicine,Durham,NC,USA3.Department of Computer Science and Engineering,The Ohio State University,Columbus,OH,USA4.Saw Swee Hock School of Public Health and Institute of Data science,National University of Singapore,Singapore,Singapore
摘要：Sepsis is a complex and heterogeneous syndrome that remains a serious challenge to healthcare worldwide.Patients afflicted by severe sepsis or septic shock are customarily placed under intensive care unit(ICU)super-vision,where a multitude of apparatus is poised to produce high-granularity data.This reservoir of high-quality data forms the cornerstone for the integration of AI into clinical practice.However,existing reviews currently lack the inclusion of the latest advancements.This review examines the evolving integration of artificial intelligence(AI)in sepsis management.Applications of artificial intelligence include early detection,subtyping analysis,precise treat-ment and prognosis assessment.AI-driven early warning systems provide enhanced recognition and intervention capabilities,while profiling analyzes elucidate distinct sepsis manifestations for targeted therapy.Precision medicine harnesses the potential of artificial intelligence for pathogen identification,antibiotic selection,and fluid optimization.In conclusion,the seamless amalgamation of artificial intelligence into the domain of sepsis management heralds a transformative shift,ushering in novel prospects to elevate diagnostic precision,therapeutic efficacy,and prognostic acumen.As AI technologies develop,their impact on shaping the future of sepsis care warrants ongoing research and thoughtful implementation.
机标关键词：intelligenceapplicationmanagementartificialsepsis
论文发表日期：2023-10-28
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：12( 369-380 )
英文信息