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Insulin Resistance Indices as Predictors of Cardio-Renal-Metabolic Multimorbidity: Insights from the UK Biobank
Cardiologyinsulin resistanceRisk Prediction

Insulin Resistance Indices as Predictors of Cardio-Renal-Metabolic Multimorbidity: Insights from the UK Biobank

By MedXY|Oct 19, 2025

This study demonstrates that insulin resistance indices, particularly TyG-WC, TyG-WHtR, and METS-IR, robustly predict the risk and progression of cardio-renal-metabolic multimorbidity, with inflammation and kidney function mediating these a

Harnessing Machine Learning to Predict High-Risk Coronary Artery Disease: Insights from the SCOT-HEART Trial
AIComputed Tomography Angiographycoronary artery disease
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Harnessing Machine Learning to Predict High-Risk Coronary Artery Disease: Insights from the SCOT-HEART Trial

By MedXY|Oct 7, 2025

Machine learning models trained on clinical data improve prediction of coronary artery disease on CT scans compared to traditional risk scores, potentially guiding better resource utilization in cardiovascular care.

Beyond Binary: Unveiling the Broad Cardiovascular Insights of AI-enhanced Electrocardiography
AIRisk Prediction

Beyond Binary: Unveiling the Broad Cardiovascular Insights of AI-enhanced Electrocardiography

By MedXY|Oct 6, 2025

AI-enhanced ECG models, initially designed for specific cardiac diagnoses, reveal broader cardiovascular risk detection and prediction capabilities, challenging their use as condition-specific tools and supporting their role as comprehensiv

Enhancing Cardiovascular Risk Prediction and Outcomes with Coronary CT Angiography: Insights from the PROMISE and SCOT-HEART Trials
CardiologyCoronary CTAmyocardial infarction

Enhancing Cardiovascular Risk Prediction and Outcomes with Coronary CT Angiography: Insights from the PROMISE and SCOT-HEART Trials

By MedXY|Oct 3, 2025

Coronary CTA, guided by clinical risk models and advanced radiomic plaque analysis, improves prediction and prevention of myocardial infarction in patients with new-onset chest pain, particularly in those with low clinical likelihood of cor

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