The application of artificial intelligence in the management of sepsis
Author:
Yang Jie1ORCID, Hao Sicheng2, Huang Jiajie1, Chen Tianqi1, Liu Ruoqi3, Zhang Ping3ORCID, Feng Mengling4, He Yang1, Xiao Wei1, Hong Yucai1, Zhang Zhongheng1ORCID
Affiliation:
1. Department of Emergency Medicine, Sir Run Run Shaw Hospital , Zhejiang University School of Medicine , Hangzhou , Zhenjiang Province , China 2. Duke University School of Medicine , Durham , NC , USA 3. Department of Computer Science and Engineering , The Ohio State University , Columbus , OH , USA 4. Saw Swee Hock School of Public Health and Institute of Data science , National University of Singapore , Singapore , Singapore
Abstract
Abstract
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) supervision, 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 treatment 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.
Publisher
Walter de Gruyter GmbH
Reference70 articles.
1. Singer, M, Deutschman, CS, Seymour, CW, Shankar-Hari, M, Annane, D, Bauer, M, et al.. The third international consensus definitions for sepsis and septic shock (Sepsis-3). JAMA 2016;315:801–10. https://doi.org/10.1001/jama.2016.0287. 2. Cecconi, M, Evans, L, Levy, M, Rhodes, A. Sepsis and septic shock. Lancet 2018;392:75–87. https://doi.org/10.1016/s0140-6736(18)30696-2. 3. Levy, MM, Fink, MP, Marshall, JC, Abraham, E, Angus, D, Cook, D, et al.. 2001 SCCM/ESICM/ACCP/ATS/SIS international sepsis definitions conference. Intensive Care Med 2003;29:530–8, https://doi.org/10.1007/s00134-003-1662-x. 4. Bone, RC, Balk, RA, Cerra, FB, Dellinger, RP, Fein, AM, Knaus, WA, et al.. Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. The ACCP/SCCM consensus conference committee. American college of chest physicians/society of critical care medicine. Chest 1992:101;1644–55. https://doi.org/10.1378/chest.101.6.1644. 5. Anand, V, Zhang, Z, Kadri, SS, Klompas, M, Rhee, C. Epidemiology of quick sequential organ failure assessment criteria in undifferentiated patients and association with suspected infection and sepsis. Chest 2019;156:289–97. https://doi.org/10.1016/j.chest.2019.03.032.
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