The Evolving Utility of Artificial Intelligence-Based Tools for the Detection of Heart Failure and Cardiomyopathies: From Potential to Implementation.
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| Title: | The Evolving Utility of Artificial Intelligence-Based Tools for the Detection of Heart Failure and Cardiomyopathies: From Potential to Implementation. |
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| Authors: | Croon PM; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, 100 Church St. South, Suite F250, New Haven, CT, 06519, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT, USA.; Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands., Dhingra LS; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, 100 Church St. South, Suite F250, New Haven, CT, 06519, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT, USA., Pedroso AF; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, 100 Church St. South, Suite F250, New Haven, CT, 06519, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT, USA., Khera R; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, 100 Church St. South, Suite F250, New Haven, CT, 06519, USA. rohan.khera@yale.edu.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT, USA. rohan.khera@yale.edu.; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA. rohan.khera@yale.edu.; Department of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, USA. rohan.khera@yale.edu.; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA. rohan.khera@yale.edu. |
| Source: | Current heart failure reports [Curr Heart Fail Rep] 2026 May 21; Vol. 23 (1). Date of Electronic Publication: 2026 May 21. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Current Science Country of Publication: United States NLM ID: 101196487 Publication Model: Electronic Cited Medium: Internet ISSN: 1546-9549 (Electronic) Linking ISSN: 15469530 NLM ISO Abbreviation: Curr Heart Fail Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42165933 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42165933 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11897-026-00764-x Languages: – Code: eng Text: English Titles: – TitleFull: The Evolving Utility of Artificial Intelligence-Based Tools for the Detection of Heart Failure and Cardiomyopathies: From Potential to Implementation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Croon PM – PersonEntity: Name: NameFull: Dhingra LS – PersonEntity: Name: NameFull: Pedroso AF – PersonEntity: Name: NameFull: Khera R IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 05 Text: 2026 May 21 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1546-9549 Numbering: – Type: volume Value: 23 – Type: issue Value: 1 Titles: – TitleFull: Current heart failure reports Type: main |
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