AIMC Topic: Coronary Artery Disease

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Comparison of machine learning models with conventional statistical methods for prediction of percutaneous coronary intervention outcomes: a systematic review and meta-analysis.

BMC cardiovascular disorders Apr 23, 2025
INTRODUCTION: Percutaneous coronary intervention (PCI) has been the main treatment of coronary artery disease (CAD). In this review, we aimed to compare the performance of machine learning (ML) vs. logistic regression (LR) models in predicting differ...
Predictive Value of Tests Percutaneous Coronary Intervention Coronary Artery Disease Humans Machine Learning Decision Support Techniques Female Middle Aged Risk Assessment Reproducibility of Results Time Factors Risk Factors Treatment Outcome Aged Male
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Plaque burden improves the detection of ischemic CAD over stenosis from coronary computed tomography angiography.

The international journal of cardiovascular imaging Apr 22, 2025
In symptomatic patients undergoing coronary CTA for suspected coronary artery disease (CAD), we assessed if quantification of plaque burden, in addition to luminal narrowing and clinical risk factors, offers incremental value for the identification o...
Multidetector Computed Tomography Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Myocardial Perfusion Imaging Coronary Stenosis Retrospective Studies Female Reproducibility of Results Risk Factors Middle Aged Severity of Illness Index Predictive Value of Tests Humans Aged Artificial Intelligence Male
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Bi-variational physics-informed operator network for fractional flow reserve curve assessment from coronary angiography.

Medical image analysis Apr 12, 2025
The coronary angiography-derived fractional flow reserve (FFR) curve, referred to as the Angio-FFR curve, is crucial for guiding percutaneous coronary intervention (PCI). The invasive FFR is the diagnostic gold standard for determining functional sig...
Humans Fractional Flow Reserve, Myocardial Neural Networks, Computer Coronary Angiography Coronary Artery Disease
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AI-enabled opportunistic measurement of liver steatosis in coronary artery calcium scans predicts cardiovascular events and all-cause mortality: an AI-CVD study within the Multi-Ethnic Study of Atherosclerosis (MESA).

BMJ open diabetes research & care Apr 12, 2025
INTRODUCTION: About one-third of adults in the USA have some grade of hepatic steatosis. Coronary artery calcium (CAC) scans contain more information than currently reported. We previously reported new artificial intelligence (AI) algorithms applied ...
Humans Prognosis Female Risk Factors Artificial Intelligence Algorithms Atherosclerosis Calcium Ethnicity Fatty Liver Coronary Vessels Vascular Calcification United States Aged Follow-Up Studies Male Coronary Artery Disease Cardiovascular Diseases Middle Aged
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Implementation of a national AI technology program on cardiovascular outcomes and the health system.

Nature medicine Apr 4, 2025
Coronary artery disease (CAD) is a major cause of ill health and death worldwide. Coronary computed tomographic angiography (CCTA) is the first-line investigation to detect CAD in symptomatic patients. This diagnostic approach risks greater second-li...
Female Aged Male Cardiovascular Diseases Middle Aged Humans Artificial Intelligence Coronary Angiography Coronary Artery Disease Computed Tomography Angiography Fractional Flow Reserve, Myocardial
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Learning-Based Models for Predicting IVIG Resistance and Coronary Artery Lesions in Kawasaki Disease: A Review of Technical Aspects and Study Features.

Paediatric drugs Apr 3, 2025
Kawasaki disease (KD) is a common pediatric vasculitis, with coronary artery lesions (CALs) representing its most severe complication. Early identification of high-risk patients, including those with disease resistant to first-line treatments, is ess...
Algorithms Mucocutaneous Lymph Node Syndrome Coronary Artery Disease Immunoglobulins, Intravenous Drug Resistance Humans Artificial Intelligence Machine Learning
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Artificial Intelligence-Enhanced Perfusion Scoring Improves the Diagnostic Accuracy of Myocardial Perfusion Imaging.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Apr 1, 2025
We previously demonstrated that a deep learning (DL) model of myocardial perfusion SPECT imaging improved accuracy for detection of obstructive coronary artery disease (CAD). We aimed to improve the clinical translatability of this artificial intelli...
Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Male Middle Aged Deep Learning Coronary Artery Disease Artificial Intelligence Female Aged Humans
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AI-Quantitative CT Coronary Plaque Features Associate With a Higher Relative Risk in Women: CONFIRM2 Registry.

Circulation. Cardiovascular imaging Mar 31, 2025
BACKGROUND: Coronary plaque features are imaging biomarkers of cardiovascular risk, but less is known about sex-specific patterns in their prognostic value. This study aimed to define sex differences in the coronary atherosclerotic phenotypes assesse...
Sex Factors Coronary Vessels Plaque, Atherosclerotic Computed Tomography Angiography Coronary Angiography Risk Factors Humans Risk Assessment Registries Aged Artificial Intelligence Coronary Artery Disease Predictive Value of Tests Male Prognosis Middle Aged Female
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Surrogate markers of insulin resistance and coronary artery disease in type 2 diabetes: U-shaped TyG association and insights from machine learning integration.

Lipids in health and disease Mar 15, 2025
BACKGROUND: Surrogate insulin resistance (IR) indices are simpler and more practical alternatives to insulin-based IR indicators for clinical use. This study explored the association between surrogate IR indices, including triglyceride-glucose index ...
Triglycerides ROC Curve Aged Body Mass Index Humans Diabetes Mellitus, Type 2 Male Coronary Artery Disease Machine Learning Insulin Resistance Middle Aged Waist Circumference Biomarkers Logistic Models Blood Glucose Cholesterol, HDL Female
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Machine learning analysis of integrated ABP and PPG signals towards early detection of coronary artery disease.

Scientific reports Mar 12, 2025
Every year, Coronary Artery Disease (CAD) claims lives of over a million people. CAD occurs when the coronary arteries, responsible for supplying oxygenated blood to the heart, get occluded due to plaque deposits on their inner walls. The most critic...
Aged Male Middle Aged Photoplethysmography Humans Machine Learning Female Arterial Pressure Blood Pressure Signal Processing, Computer-Assisted Coronary Artery Disease Early Diagnosis
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