ID: 4320087 AI-PREDICTED ECG AGE GAP AS A BIOMARKER: BIAS-ADJUSTED CORRELATION WITH MORTALITY AND CARDIOVASCULAR RISK FACTORS
The gap between artificial intelligence (AI) derived ECG age and chronological age (Δage) has been correlated with cardiovascular risk factors and mortality. However, bias due to regression-towards-the-mean results in an age-Δage correlation which affects the relationship between Δage and these age-related variables.
Authors
- Noëlla Pierlet (ORCID: https://orcid.org/0000-0002-7551-0991)
- Henri Gruwez (ORCID: https://orcid.org/0000-0002-9169-265X)
- Pieter Vandervoort (ORCID: https://orcid.org/0000-0003-3118-7560)
- Laurent Pison (ORCID: https://orcid.org/0000-0002-8518-3330)
- Iris Delgado (ORCID: https://orcid.org/0000-0002-7021-3357)
- Myrte Barthels (ORCID: https://orcid.org/0009-0008-0565-5870)
- Elisa Verhofstadt
Publication Details
- Journal
- Heart Rhythm O2
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1016/j.hroo.2025.07.055
- Primary Topic
- Diabetes and associated disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00