Artificial Intelligence–Enabled Prediction of Heart Failure Risk From Single-Lead Electrocardiograms
Across multinational cohorts, a noise-adapted AI-ECG model estimated HF risk using lead I ECGs, suggesting a potential HF risk-stratification strategy requiring prospective study using wearable and portable ECG devices.
Authors
- Sandhi Maria Barreto (ORCID: https://orcid.org/0000-0001-7383-7811)
- Clara K Chow (ORCID: https://orcid.org/0000-0003-4693-0038)
- Rohan Khera (ORCID: https://orcid.org/0000-0001-9467-6199)
- Aline F Pedroso (ORCID: https://orcid.org/0000-0002-1876-8304)
- Lovedeep Singh Dhingra (ORCID: https://orcid.org/0000-0002-5664-4126)
- Luísa Campos Caldeira Brant (ORCID: https://orcid.org/0000-0002-7317-1367)
- Arya Aminorroaya (ORCID: https://orcid.org/0000-0003-3197-2657)
- Daniel McIntyre (ORCID: https://orcid.org/0000-0003-4854-4050)
- Veer Sangha (ORCID: https://orcid.org/0000-0002-8524-1203)
- Harlan M. Krumholz (ORCID: https://orcid.org/0000-0003-2046-127X)
- Akshay Khunte (ORCID: https://orcid.org/0000-0003-3812-3260)
- Antônio Luiz Pinho Ribeiro (ORCID: https://orcid.org/0000-0002-2740-0042)
- Evangelos K. Oikonomou (ORCID: https://orcid.org/0000-0003-4362-0720)
- Folkert W Asselbergs
Institutions
- Universidade Federal de Minas Gerais (BR)
- The University of Sydney (AU)
- Yale New Haven Hospital (US)
- Westmead Hospital (AU)
- Yale University (US)
- National Institute for Health and Care Research (GB)
- University of Oxford (GB)
- Yale New Haven Health System (US)
- Hospital das Clínicas da Universidade Federal de Minas Gerais (BR)
- Westmead Institute (AU)
- Science Oxford (GB)
- University College London (GB)
- University of Amsterdam (NL)
Publication Details
- Journal
- JAMA Cardiology
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1001/jamacardio.2025.0492
- Citations
- 29
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 40.26