Cross-sectional evaluation of cardiovascular biological age using point-of-care ultrasound.

Roi Amster^1,2,3, Abigail Goshen^1,4, Harel Raanani^3,5, Adiel Am-Shalom⁵, Michael Fiman⁵, Robert Klempfner^2,3,5, Ehud Raanani^2,3,5, Ehud Schwammenthal^2,3,5, Evelyne Bischof^1,3, Elad Maor^2,3, Tzipora Strauss^1,3

¹Sheba Longevity Center, Sheba Medical Center, Ramat Gan, Israel.

²The Leviev Cardiothoracic and Vascular Center, Sheba Medical Center, Ramat Gan, Israel.

³Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel.

⁴Department of Management, Health Systems Management Program, Bar-Ilan University, Ramat Gan, Israel.

⁵Aisap.ai, Israel.

PubMed PMC DOI PDF

Abstract

AIMS: Biological age is increasingly recognized as a superior predictor of morbidity, mortality, compared with chronological age. Artificial intelligence (AI)-driven ageing clocks enable rapid, non-invasive assessment. Cardiovascular (CV) ageing is of particular relevance given its central role in systemic metabolic health. This study evaluated the clinical utility of an ultrasound (US)-based CV b…

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