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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| 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 |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-58283-7 |
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