Artificial intelligence for predicting paediatric acute kidney injury: a systematic review and meta-analysis.

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Bibliographic Details
Title: Artificial intelligence for predicting paediatric acute kidney injury: a systematic review and meta-analysis.
Authors: Raina R; Department of Pediatric Nephrology, Akron Children's Hospital, Akron, OH, USA.; Department of Nephrology, Akron Nephrology Associates/Cleveland Clinic Akron General Medical Center, Akron, OH, USA.; Department of Medicine, College of Medicine, Northeast Ohio Medical University, Rootstown, OH, USA., Shirode P; Department of Pediatric Nephrology, Akron Children's Hospital, Akron, OH, USA.; Department of Nephrology, Akron Nephrology Associates/Cleveland Clinic Akron General Medical Center, Akron, OH, USA., Shah R; Department of Medicine, College of Medicine, Northeast Ohio Medical University, Rootstown, OH, USA., Chepyala A; Department of Nephrology, Akron Nephrology Associates/Cleveland Clinic Akron General Medical Center, Akron, OH, USA., Tibrewal A; Department of Nephrology, Akron Nephrology Associates/Cleveland Clinic Akron General Medical Center, Akron, OH, USA., Sethi SK; Pediatric Nephrology, Kidney Institute, Medanta, The Medicity Hospital, Gurgaon, Haryana, India., Cheungpasitporn W; Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
Source: Clinical kidney journal [Clin Kidney J] 2026 Feb 28; Vol. 19 (5), pp. sfag063. Date of Electronic Publication: 2026 Feb 28 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 101579321 Publication Model: eCollection Cited Medium: Print ISSN: 2048-8505 (Print) Linking ISSN: 20488505 NLM ISO Abbreviation: Clin Kidney J Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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