Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study

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Publication Details

Journal
The Lancet Digital Health
Published
2025-01-29
DOI
https://doi.org/10.1016/s2589-7500(24)00249-8
Citations
30
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
38.08

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article

Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study

Rohan Khera, Robert L. McNamara, Akhil Vaid, Cristiana Baloescu et al.
30 citations
The Lancet Digital Health
Cardiac Imaging and Diagnostics
38.08
article

Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study

Rohan Khera, Robert L. McNamara, Akhil Vaid, Cristiana Baloescu, Girish N. Nadkarni, Zhangyang Wang, Andreas Coppi, Gregory Holste, Harlan M. Krumholz, Evangelos K. Oikonomou, Donald J. Apakama
article en
30 citations

Abstract

No abstract available for this paper.
The Lancet Digital HealthVol. 7(2)
Yale New Haven Hospital (US), Yale University (US), The University of Texas at Austin (US), Icahn School of Medicine at Mount Sinai (US)
Doris Duke Charitable Foundation, American Heart Association, Bristol-Myers Squibb, Yale University, Novo Nordisk, National Institutes of Health, Centers for Disease Control and Prevention, National Institute on Aging, National Heart, Lung, and Blood Institute
Openalex Percentile: Top 0%
Cardiac Imaging and Diagnostics
38.08
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