The Opportunities and Challenges for Artificial Intelligence to Improve Sepsis Outcomes in the Paediatric Intensive Care Unit

被引：5

作者：

Aslan, Abdullah Tarik ^{[1
]}

Permana, Budi ^{[2
,3
]}

Harris, Patrick N. A. ^{[1
,4
]}

Naidoo, Kuban D. ^{[5
,6
]}

Pienaar, Michael A. ^{[7
]}

Irwin, Adam D. ^{[1
,8
]}

机构：

[1] Univ Queensland, Fac Med, UQ Ctr Clin Res, Bldg 71-918 Bowen Bridge Rd Herston, Brisbane, Qld, Australia

[2] Univ Queensland, Sch Chem & Mol Biosci, Brisbane, Qld, Australia

[3] Metro North Hlth, Herston Infect Dis Inst HeIDI, Brisbane, Qld, Australia

[4] Royal Brisbane & Womens Hosp, Cent Microbiol, Pathol Queensland, Brisbane, Qld, Australia

[5] Univ Witwatersrand, Div Crit Care, Sch Med, Johannesburg, South Africa

[6] Univ Witwatersrand, Chris Hani Baragwanath Acad Hosp, Sch Med, Paediat Intens Care Unit, Johannesburg, South Africa

[7] Univ Free State, Dept Paediat & Child Hlth, Paediat Crit Care Unit, Bloemfontein, South Africa

[8] Queensland Childrens Hosp, Infect Management & Prevent Serv, Brisbane, Qld, Australia

来源：

CURRENT INFECTIOUS DISEASE REPORTS | 2023年 / 25卷 / 11期

关键词：

Artificial intelligence; Sepsis; Children; Intensive care unit; Low- and middle-income countries; EARLY WARNING SYSTEM; PREDICTION; HEALTH; GUIDELINES; MORTALITY; ALARMS;

D O I：

10.1007/s11908-023-00818-4

中图分类号：

R51 [传染病];

学科分类号：

100401 ;

摘要：

Purpose of Review To describe existing applications of artificial intelligence (AI) in sepsis management and the opportunities and challenges associated with its implementation in the paediatric intensive care unit. Recent Findings Over the last decade, significant advances have occurred in the use of AI techniques, particularly in relation to medical image analysis. Increasingly, these techniques are being applied to a broad array of datasets. The availability of both structured and unstructured data from electronic health records, omics data and digital technologies (for example, portable sensors) is rapidly extending the range of applications for AI. These techniques offer the exciting potential to improve the recognition of sepsis and to help us understand the pathophysiological pathways and therapeutic targets of sepsis. Summary Although AI has great potential to improve sepsis management in children, significant challenges need to be overcome before it can be successfully implemented to change healthcare delivery.

引用

页码：243 / 253

页数：11

共 92 条

[1] Machine learning based refined differential gene expression analysis of pediatric sepsis [J].