External validation of artificial intelligence for detection of heart failure with preserved ejection fraction

External validation of artificial intelligence for detection of heart failure with preserved ejection fraction

Abstract Artificial intelligence (AI) models to identify heart failure (HF) with preserved ejection fraction (HFpEF) based on deep-learning of echocardiograms could help address under-recognition in clinical practice, but they require extensive validation, particularly in representative and complex...

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Bibliographic Details
Main Authors: Ashley P. Akerman, Nora Al-Roub, Constance Angell-James, Madeline A. Cassidy, Rasheed Thompson, Lorenzo Bosque, Katharine Rainer, William Hawkes, Hania Piotrowska, Paul Leeson, Gary Woodward, Patricia A. Pellikka, Ross Upton, Jordan B. Strom
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-58283-7
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