Prediction of Adverse Events in Single Ventricle Physiology Infants Using Artificial Intelligence Tools.
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| Title: | Prediction of Adverse Events in Single Ventricle Physiology Infants Using Artificial Intelligence Tools. |
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| Authors: | Yu M; Telemedicine Program, Children's National Hospital, Washington, DC., Saenz Gaitan L; Telemedicine Program, Children's National Hospital, Washington, DC.; Department of Pediatrics, The George Washington University, School of Medicine and Health Sciences, Washington, DC., Lopez Magallon A; Telemedicine Program, Children's National Hospital, Washington, DC.; Department of Pediatrics, The George Washington University, School of Medicine and Health Sciences, Washington, DC.; Division of Cardiac Critical Care, Children's National Hospital, Washington, DC., Futterman C; Department of Pediatrics, The George Washington University, School of Medicine and Health Sciences, Washington, DC.; Division of Cardiac Critical Care, Children's National Hospital, Washington, DC., Jin F; Department of Statistics, The George Washington University, School of Medicine and Health Sciences, Washington, DC., Linguraru MG; Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC.; Department of Radiology, The George Washington University, School of Medicine and Health Sciences, Washington, DC., Anwar SM; Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC.; Department of Radiology, The George Washington University, School of Medicine and Health Sciences, Washington, DC., Munoz R; Telemedicine Program, Children's National Hospital, Washington, DC.; Department of Pediatrics, The George Washington University, School of Medicine and Health Sciences, Washington, DC.; Division of Cardiac Critical Care, Children's National Hospital, Washington, DC. |
| Source: | Critical care explorations [Crit Care Explor] 2026 Feb 09; Vol. 8 (2), pp. e1381. Date of Electronic Publication: 2026 Feb 09 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wolters Kluwer Health Country of Publication: United States NLM ID: 101746347 Publication Model: eCollection Cited Medium: Internet ISSN: 2639-8028 (Electronic) Linking ISSN: 26398028 NLM ISO Abbreviation: Crit Care Explor Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41661165 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Prediction of Adverse Events in Single Ventricle Physiology Infants Using Artificial Intelligence Tools. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Yu+M%22">Yu M</searchLink>; Telemedicine Program, Children's National Hospital, Washington, DC.<br /><searchLink fieldCode="AU" term="%22Saenz+Gaitan+L%22">Saenz Gaitan L</searchLink>; Telemedicine Program, Children's National Hospital, Washington, DC.; Department of Pediatrics, The George Washington University, School of Medicine and Health Sciences, Washington, DC.<br /><searchLink fieldCode="AU" term="%22Lopez+Magallon+A%22">Lopez Magallon A</searchLink>; Telemedicine Program, Children's National Hospital, Washington, DC.; Department of Pediatrics, The George Washington University, School of Medicine and Health Sciences, Washington, DC.; Division of Cardiac Critical Care, Children's National Hospital, Washington, DC.<br /><searchLink fieldCode="AU" term="%22Futterman+C%22">Futterman C</searchLink>; Department of Pediatrics, The George Washington University, School of Medicine and Health Sciences, Washington, DC.; Division of Cardiac Critical Care, Children's National Hospital, Washington, DC.<br /><searchLink fieldCode="AU" term="%22Jin+F%22">Jin F</searchLink>; Department of Statistics, The George Washington University, School of Medicine and Health Sciences, Washington, DC.<br /><searchLink fieldCode="AU" term="%22Linguraru+MG%22">Linguraru MG</searchLink>; Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC.; Department of Radiology, The George Washington University, School of Medicine and Health Sciences, Washington, DC.<br /><searchLink fieldCode="AU" term="%22Anwar+SM%22">Anwar SM</searchLink>; Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC.; Department of Radiology, The George Washington University, School of Medicine and Health Sciences, Washington, DC.<br /><searchLink fieldCode="AU" term="%22Munoz+R%22">Munoz R</searchLink>; Telemedicine Program, Children's National Hospital, Washington, DC.; Department of Pediatrics, The George Washington University, School of Medicine and Health Sciences, Washington, DC.; Division of Cardiac Critical Care, Children's National Hospital, Washington, DC. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101746347%22">Critical care explorations</searchLink> [Crit Care Explor] 2026 Feb 09; Vol. 8 (2), pp. e1381. <i>Date of Electronic Publication: </i>2026 Feb 09 (<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="%22Wolters+Kluwer+Health%22">Wolters Kluwer Health </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101746347 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2639-8028 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226398028%22">26398028 </searchLink><i>NLM ISO Abbreviation: </i>Crit Care Explor <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41661165 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1097/CCE.0000000000001381 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e1381 Titles: – TitleFull: Prediction of Adverse Events in Single Ventricle Physiology Infants Using Artificial Intelligence Tools. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yu M – PersonEntity: Name: NameFull: Saenz Gaitan L – PersonEntity: Name: NameFull: Lopez Magallon A – PersonEntity: Name: NameFull: Futterman C – PersonEntity: Name: NameFull: Jin F – PersonEntity: Name: NameFull: Linguraru MG – PersonEntity: Name: NameFull: Anwar SM – PersonEntity: Name: NameFull: Munoz R IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 02 Text: 2026 Feb 09 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2639-8028 Numbering: – Type: volume Value: 8 – Type: issue Value: 2 Titles: – TitleFull: Critical care explorations Type: main |
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