AIMC Topic: Coronary Artery Disease
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Optimizing Cardiovascular Risk Management in Primary Care Using a Personalized eCoach Solution Enhanced by an Artificial Intelligence-Driven Clinical Prediction Model: Protocol from the Coronary Artery Disease Risk Estimation and Early Detection Consortium.
JMIR research protocols
Aug 8, 2025
BACKGROUND: Atherosclerotic cardiovascular disease poses a heavy burden on the population's health and health care costs. Identifying apparently healthy individuals at risk of developing cardiovascular diseases using clinical prediction models raises...
A retrospective cohort study using machine learning to predict coronary artery lesions in children with Kawasaki disease.
BMC pediatrics
Jul 31, 2025
BACKGROUND: Kawasaki disease (KD) mainly occurs in children under 5 years old, and the most common complication of KD is coronary artery lesion (CAL). In recent years, the incidence rate of KD has increased year by year worldwide, so it is particular...
Optimized feature selection and advanced machine learning for stroke risk prediction in revascularized coronary artery disease patients.
BMC medical informatics and decision making
Jul 24, 2025
BACKGROUND: Coronary artery disease (CAD) remains a leading cause of global mortality, with stroke constituting a significant complication among patients undergoing coronary revascularization procedures, such as percutaneous coronary intervention (PC...
Artificial intelligence in coronary angiography: benchmarking the diagnostic accuracy of ChatGPT-4o against interventional cardiologists.
Open heart
Jul 20, 2025
BACKGROUND: The integration of artificial intelligence (AI) into medical diagnostics has significantly impacted cardiology by enhancing diagnostic precision and therapeutic strategies. Coronary artery disease continues to be a leading cause of global...
Coronary Angiography
Radiographic Image Interpretation, Computer-Assisted
Coronary Artery Disease
Humans
Male
Artificial Intelligence
Benchmarking
Middle Aged
Retrospective Studies
Coronary Vessels
Generative Artificial Intelligence
Female
Predictive Value of Tests
Cardiologists
Reproducibility of Results
Aged
Incidental Finding of Coronary and Non-Coronary Artery Calcium: What Do Clinicians Need To Know?
Current atherosclerosis reports
Jul 12, 2025
PURPOSE OF REVIEW: This review summarizes the role of incidentally and non-incidentally discovered coronary artery calcification (CAC) and the evolving role of non-coronary artery calcification in atherosclerotic cardiovascular disease (ASCVD) risk a...
Prediction of Percutaneous Coronary Intervention Success in Patients With Moderate to Severe Coronary Artery Calcification Using Machine Learning Based on Coronary Angiography: Prospective Cohort Study.
Journal of medical Internet research
Jul 11, 2025
BACKGROUND: Given the challenges faced during percutaneous coronary intervention (PCI) for heavily calcified lesions, accurately predicting PCI success is crucial for enhancing patient outcomes and optimizing procedural strategies.
Inflammation-related 5-hydroxymethylation signatures as markers for clinical presentations of coronary artery disease.
Cardiovascular diabetology
Jun 23, 2025
BACKGROUND: Coronary angiography remains the gold standard for diagnosing coronary artery disease (CAD), but its invasive nature limits its applicability for widespread screening. Identifying non-invasive molecular markers could improve CAD classific...
ST Elevation Myocardial Infarction
Coronary Artery Disease
Inflammation Mediators
5-Methylcytosine
Cell-Free Nucleic Acids
Non-ST Elevated Myocardial Infarction
Predictive Value of Tests
Biomarkers
Prognosis
Severity of Illness Index
Aged
Female
Epigenesis, Genetic
Male
Humans
Reproducibility of Results
Inflammation
Middle Aged
Machine Learning
DNA Methylation
Risk Assessment
A multimodal dataset for coronary microvascular disease biomarker discovery.
Scientific data
Jun 12, 2025
Coronary microvascular disease (CMD), particularly prevalent among women, is associated with increased morbidity and mortality, making clinical screening vital for effective management. However, limited publicly available screening-level data hinders...
A plaque recognition algorithm for coronary OCT images by Dense Atrous Convolution and attention mechanism.
PloS one
Jun 10, 2025
Currently, plaque segmentation in Optical Coherence Tomography (OCT) images of coronary arteries is primarily carried out manually by physicians, and the accuracy of existing automatic segmentation techniques needs further improvement. To furnish eff...
Diffusion-based image translation model from low-dose chest CT to calcium scoring CT with random point sampling.
Computers in biology and medicine
Jun 7, 2025
BACKGROUND: Coronary artery calcium (CAC) scoring is an important method for cardiovascular risk assessment. While artificial intelligence (AI) has been applied to automate CAC scoring in calcium scoring computed tomography (CSCT), its application to...
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