Article

Multimodal AI for Precision Preventive Cardiology

2025-10-10

Abstract excerpt

Coronary artery disease (CAD) is the leading cause of death worldwide, yet it is highly preventable. Early detection is critical, particularly because the first clinical manifestation of CAD is a heart attack in ∼50% of individuals. Current clinical risk scores rely largely on traditional biomarkers and do not leverage recent advances in medical imaging and genetics. To address this, we developed preCog , a multim...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c6bd9b15-a673-5eaf-b6ac-61ceedc6ae56
DOI: 10.1101/2025.10.09.25337677

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Multimodal AI for Precision Preventive CardiologyDOI 10.1101/2025.10.09.25337677Read

Bridging Genomics to Cardiology Clinical PracticeSemantic proximity Read

CARDIAC-FM: A Multimodal Foundation Model for Cardiovascular Risk Prediction Using ECG and Cardiac MRISemantic proximity Read

AI-Enabled Echocardiography Identifies an Adverse Epicardial Adiposity Phenotype Associated with Cardiometabolic DysfunctionSemantic proximity Read

Cine Cardiac MRI Captures Cardiovascular Disease Risk Beyond Established Clinical Risk Factors: Evidence from the UK BiobankSemantic proximity Read

Discovery of cardiac imaging biomarkers by training neural network models across diagnostic modalitiesSemantic proximity Read

Examining Personal Lifestyle Factors and Lipid Profile on Cardiovascular Disease Risk PredictionSemantic proximity Read

Development and Multinational Validation of Artificial Intelligence-Enabled ASCVD Risk Stratification Using ElectrocardiogramsSemantic proximity Read

Integrating Imaging-Derived Clinical Endotypes with Plasma Proteomics and External Polygenic Risk Scores Enhances Coronary Microvascular Disease Risk Prediction<sup>†</sup>Semantic proximity Read

Precision and network medicine in cardiovascular prevention and disease.Semantic proximity Read

Artificial intelligence–enabled electrocardiogram for mortality and cardiovascular risk estimation: An actionable, explainable and biologically plausible platformSemantic proximity Read

Advancing cardiovascular disease risk prediction beyond conventional methods: a systematic review of multimodal machine learning models integrating traditional clinical factors and multi-omics dataSemantic proximity Read

Meta-Prediction of Coronary Artery Disease RiskSemantic proximity Read