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Editorial
. 2018 Oct;33(10):1625-1627.
doi: 10.1007/s00467-018-4021-4. Epub 2018 Jul 12.

Beyond playing games: nephrologist vs machine in pediatric dialysis prescribing

Wesley Hayes  1   2 , Marco Allinovi  3
Affiliations
Editorial

Beyond playing games: nephrologist vs machine in pediatric dialysis prescribing

Wesley Hayes et al. Pediatr Nephrol. 2018 Oct.

Abstract

In a recent article in Pediatric Nephrology, Olivier Niel and colleagues applied an artificial intelligence algorithm to a clinical problem that continues to challenge experienced pediatric nephrologists: optimizing the target weight of children on dialysis. They compared blood pressure, antihypertensive medication and intradialytic symptoms in children whose target weight was prescribed firstly by a nephrologist, then subsequently using a machine learning algorithm. Improvements in all outcome measures are reported. Their innovative approach to tackling this important clinical problem appears promising. In this editorial, we discuss the strengths and weaknesses of their study and consider to what extent machine learning strategies are suited to optimizing pediatric dialysis outcomes.

Keywords: Artificial intelligence; Body water; Child; Machine learning; Renal dialysis.

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Conflict of interest statement

The authors declare that they have no conflict of interest.

Comment on

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