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

• Published in: Current infectious disease reports Vol. 25; no. 11; pp. 243 - 253
• Main Authors: Aslan, Abdullah Tarik, Permana, Budi, Harris, Patrick N. A., Naidoo, Kuban D., Pienaar, Michael A., Irwin, Adam D.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01-11-2023; Springer Nature B.V
• Subjects: Artificial intelligence; Digital technology; Electronic health records; Infectious Diseases; Intensive care; Machine learning; Medical imaging; Medicine; Medicine & Public Health; Pediatrics; Section Editor; Sepsis; Sepsis in the ICU (J Lipman; Topical Collection on Sepsis in the ICU; Sepsis; Children; Low- and middle-income countries; Artificial intelligence; Intensive care unit
• ISSN: 1523-3847; 1534-3146
• DOI: 10.1007/s11908-023-00818-4

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.