Artificial intelligence for predicting paediatric acute kidney injury: a systematic review and meta-analysis.
Saved in:
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42079462 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Artificial intelligence for predicting paediatric acute kidney injury: a systematic review and meta-analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Raina+R%22">Raina R</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Shirode+P%22">Shirode P</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Shah+R%22">Shah R</searchLink>; Department of Medicine, College of Medicine, Northeast Ohio Medical University, Rootstown, OH, USA.<br /><searchLink fieldCode="AU" term="%22Chepyala+A%22">Chepyala A</searchLink>; Department of Nephrology, Akron Nephrology Associates/Cleveland Clinic Akron General Medical Center, Akron, OH, USA.<br /><searchLink fieldCode="AU" term="%22Tibrewal+A%22">Tibrewal A</searchLink>; Department of Nephrology, Akron Nephrology Associates/Cleveland Clinic Akron General Medical Center, Akron, OH, USA.<br /><searchLink fieldCode="AU" term="%22Sethi+SK%22">Sethi SK</searchLink>; Pediatric Nephrology, Kidney Institute, Medanta, The Medicity Hospital, Gurgaon, Haryana, India.<br /><searchLink fieldCode="AU" term="%22Cheungpasitporn+W%22">Cheungpasitporn W</searchLink>; Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101579321%22">Clinical kidney journal</searchLink> [Clin Kidney J] 2026 Feb 28; Vol. 19 (5), pp. sfag063. <i>Date of Electronic Publication: </i>2026 Feb 28 (<i>Print Publication: </i>2026). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101579321 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2048-8505 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220488505%22">20488505 </searchLink><i>NLM ISO Abbreviation: </i>Clin Kidney J <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42079462 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/ckj/sfag063 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: sfag063 Titles: – TitleFull: Artificial intelligence for predicting paediatric acute kidney injury: a systematic review and meta-analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Raina R – PersonEntity: Name: NameFull: Shirode P – PersonEntity: Name: NameFull: Shah R – PersonEntity: Name: NameFull: Chepyala A – PersonEntity: Name: NameFull: Tibrewal A – PersonEntity: Name: NameFull: Sethi SK – PersonEntity: Name: NameFull: Cheungpasitporn W IsPartOfRelationships: – BibEntity: Dates: – D: 28 M: 02 Text: 2026 Feb 28 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 2048-8505 Numbering: – Type: volume Value: 19 – Type: issue Value: 5 Titles: – TitleFull: Clinical kidney journal Type: main |
| ResultId | 1 |
