Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Relations of Artificial Intelligence Vascular Age With Cardiometabolic Disease Progression: The Framingham Heart Study
0
Zitationen
10
Autoren
2025
Jahr
Abstract
In our community-based sample with repeated measures, AI-VA, a measure of aortic stiffness, had bidirectional relations with continuous cardiometabolic measures and incident CMD, highlighting the potential utility of AI-VA as a novel screening tool for CMD risk.
Ähnliche Arbeiten
Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association
2017 · 12.670 Zit.
Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies
2002 · 10.165 Zit.
Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association
2020 · 9.220 Zit.
2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults
2017 · 6.334 Zit.
Expert consensus document on arterial stiffness: methodological issues and clinical applications
2006 · 5.943 Zit.
Autoren
Institutionen
- Boston University(US)
- Framingham Heart Study(US)
- Vassar College(US)
- Boston Medical Center(US)
- Beth Israel Deaconess Medical Center(US)
- Harvard University(US)
- Hadassah Medical Center(IL)
- The University of Texas Health Science Center(US)
- The University of Texas Health Science Center at Houston(US)
- The University of Texas at San Antonio(US)
- The University of Texas Health Science Center at San Antonio(US)