AI-ECG age predicts carotid atherosclerotic plaque volume and progression
AI ECG age correlates more closely with carotid plaque burden than chronological age. Its divergence from chronological age independently predicts plaque progression, supporting AI ECG age as an accessible adjunct for vascular risk assessment.
Authors
- Maria Noflatscher (ORCID: https://orcid.org/0000-0001-8848-166X)
- Peter Marschang (ORCID: https://orcid.org/0000-0002-8239-3447)
- Clemens Dlaska (ORCID: https://orcid.org/0000-0002-8798-0827)
- Michael Schreinlechner (ORCID: https://orcid.org/0000-0001-5251-6971)
- Florian Hofer (ORCID: https://orcid.org/0000-0003-2532-0919)
- Angelika Bauer (ORCID: https://orcid.org/0000-0003-2413-3425)
- Fabian Theurl (ORCID: https://orcid.org/0000-0002-0190-5958)
- Samuel Pröll (ORCID: https://orcid.org/0000-0003-3074-8637)
- Daniel Pavluk
Institutions
- Innsbruck Medical University (AT)
- Ospedale di Bolzano (IT)
- University Clinic of Traumatology (AT)
Publication Details
- Journal
- Atherosclerosis
- Published
- 2025-11-21
- DOI
- https://doi.org/10.1016/j.atherosclerosis.2025.120592
- Primary Topic
- Cardiovascular Health and Disease Prevention
- Type
- article
- Field-Weighted Citation Impact
- 0.00