Author:
Aslan Abdullah Tarik,Permana Budi,Harris Patrick N. A.,Naidoo Kuban D.,Pienaar Michael A.,Irwin Adam D.
Abstract
Abstract
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.
Funder
The University of Queensland
Publisher
Springer Science and Business Media LLC
Cited by
3 articles.
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