Artificial intelligence—derived electrocardiographic age gap as a predictor of mortality after coronary revascularization: prognostic value and short-term intra-patient variability
The AI-derived ECG age gap independently predicts mortality after revascularization, but substantial short-term variability necessitates serial monitoring for reliable clinical use.
Authors
- Peter De Jaeger (ORCID: https://orcid.org/0000-0003-3398-6833)
- David McAuliffe (ORCID: https://orcid.org/0009-0000-0428-1506)
- Nathalie Mertens (ORCID: https://orcid.org/0000-0002-2409-7586)
- Maarten Vanhaverbeke (ORCID: https://orcid.org/0000-0002-4385-7069)
- Karl Dujardin
- Louise Vander Heyde
- Wim Anné
Institutions
- Xerox (France) (FR)
- AZ Delta (BE)
Publication Details
- Journal
- European Heart Journal - Digital Health
- Published
- 2026-03-04
- DOI
- https://doi.org/10.1093/ehjdh/ztag039
- Primary Topic
- Acute Myocardial Infarction Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00