AIMC Topic: Coronary Artery Disease
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Automated Classification of Coronary Plaque on Intravascular Ultrasound by Deep Classifier Cascades.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Nov 27, 2024
Intravascular ultrasound (IVUS) is the gold standard modality for in vivo visualization of coronary arteries and atherosclerotic plaques. Classification of coronary plaques helps to characterize heterogeneous components and evaluate the risk of plaqu...
Quantification of coronary artery calcification in systemic sclerosis using visual ordinal and deep learning scoring: Association with systemic sclerosis clinical features.
Seminars in arthritis and rheumatism
Nov 20, 2024
OBJECTIVE: To investigate the association between systemic sclerosis (SSc) clinical features and the extent and progression of coronary artery calcifications.
Accuracy of Machine Learning in Discriminating Kawasaki Disease and Other Febrile Illnesses: Systematic Review and Meta-Analysis.
Journal of medical Internet research
Nov 18, 2024
BACKGROUND: Kawasaki disease (KD) is an acute pediatric vasculitis that can lead to coronary artery aneurysms and severe cardiovascular complications, often presenting with obvious fever in the early stages. In current clinical practice, distinguishi...
Impact of tooth loss and patient characteristics on coronary artery calcium score classification and prediction.
Scientific reports
Nov 16, 2024
This study, for the first time, explores the integration of data science and machine learning for the classification and prediction of coronary artery calcium (CAC) scores. It focuses on tooth loss and patient characteristics as key input features to...
Screening of CAD-related secretory genes associated with type II diabetes based on comprehensive bioinformatics analysis and machine learning.
BMC cardiovascular disorders
Nov 5, 2024
BACKGROUND: Type II diabetes mellitus (T2DM) is strongly linked with a heightened risk of coronary artery disease (CAD). Exploring biological targets common to T2DM and CAD is essential for CAD intervention strategies.
Humans
Diabetes Mellitus, Type 2
Machine Learning
Single-Cell Analysis
Female
Gene Regulatory Networks
Aged
Genetic Predisposition to Disease
Male
Middle Aged
Gene Expression Profiling
Transcriptome
Computational Biology
Databases, Genetic
Coronary Artery Disease
Myocytes, Cardiac
Myocytes, Smooth Muscle
Fibroblast Growth Factor 7
Leveraging machine learning to enhance postoperative risk assessment in coronary artery bypass grafting patients with unprotected left main disease: a retrospective cohort study.
International journal of surgery (London, England)
Nov 1, 2024
BACKGROUND: Risk stratification for patients undergoing coronary artery bypass surgery (CABG) for left main coronary artery (LMCA) disease is essential for informed decision-making. This study explored the potential of machine learning (ML) methods t...
Artificial Intelligence-Based Fully Automated Quantitative Coronary Angiography vs Optical Coherence Tomography-Guided PCI: The FLASH Trial.
JACC. Cardiovascular interventions
Oct 30, 2024
BACKGROUND: Recently developed artificial intelligence-based coronary angiography (AI-QCA, fully automated) provides real-time, objective, and reproducible quantitative analysis of coronary angiography without requiring additional time or labor.
Coronary Vessels
Stents
Image Interpretation, Computer-Assisted
Automation
Middle Aged
Time Factors
Treatment Outcome
Predictive Value of Tests
Tomography, Optical Coherence
Coronary Angiography
Percutaneous Coronary Intervention
Coronary Artery Disease
Republic of Korea
Female
Aged
Male
Humans
Artificial Intelligence
Prospective Studies
Coronary Artery Disease Detection Based on a Novel Multi-Modal Deep-Coding Method Using ECG and PCG Signals.
Sensors (Basel, Switzerland)
Oct 29, 2024
Coronary artery disease (CAD) is an irreversible and fatal disease. It necessitates timely and precise diagnosis to slow CAD progression. Electrocardiogram (ECG) and phonocardiogram (PCG), conveying abundant disease-related information, are prevalent...
Meta-analysis of deep learning approaches for automated coronary artery calcium scoring: Performance and clinical utility AI in CAC scoring: A meta-analysis: AI in CAC scoring: A meta-analysis.
Computers in biology and medicine
Oct 23, 2024
INTRODUCTION: Manual Coronary Artery Calcium (CAC) scoring, crucial for assessing coronary artery disease risk, is time-consuming and variable. Deep learning, particularly through Convolutional Neural Networks (CNNs), promises to automate and enhance...
Automated AI-based coronary calcium scoring using retrospective CT data from SCAPIS is accurate and correlates with expert scoring.
European radiology
Oct 18, 2024
OBJECTIVES: Evaluation of the correlation and agreement between AI and semi-automatic evaluations of calcium scoring CT (CSCT) examinations using extensive data from the Swedish CardioPulmonary bio-Image study (SCAPIS).
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