Artificial Intelligence Electrocardiogram Risk Tool-Reply.

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Bibliographic Details
Title: Artificial Intelligence Electrocardiogram Risk Tool-Reply.
Authors: Dhingra LS; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut., Aminorroaya A; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut., Khera R; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.; Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, Connecticut.; Section of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, Connecticut.; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut.
Source: JAMA cardiology [JAMA Cardiol] 2026 Jan 01; Vol. 11 (1), pp. 109.
Publication Type: Journal Article
Journal Info: Publisher: American Medical Association Country of Publication: United States NLM ID: 101676033 Publication Model: Print Cited Medium: Internet ISSN: 2380-6591 (Electronic) NLM ISO Abbreviation: JAMA Cardiol Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:2380-6591
DOI:10.1001/jamacardio.2025.4246