AI Medical Compendium Topic:
Coronary Artery Disease

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Mammography-based deep learning model for coronary artery calcification.

European heart journal. Cardiovascular Imaging Mar 27, 2024
AIMS: Mammography, commonly used for breast cancer screening in women, can also predict cardiovascular disease. We developed mammography-based deep learning models for predicting coronary artery calcium (CAC) scores, an established predictor of coron...
Humans Female Middle Aged Deep Learning Mammography Coronary Artery Disease Adult Breast Neoplasms Cardiovascular Diseases
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Enhancing coronary artery plaque analysis via artificial intelligence-driven cardiovascular computed tomography.

Therapeutic advances in cardiovascular disease Jan 1, 2024
Coronary computed tomography angiography (CCTA) is a noninvasive imaging modality of cardiac structures and vasculature considered comparable to invasive coronary angiography for the evaluation of coronary artery disease (CAD) in several major cardio...
Humans Artificial Intelligence Prognosis Reproducibility of Results Severity of Illness Index Predictive Value of Tests Coronary Angiography Coronary Vessels Plaque, Atherosclerotic Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Coronary Artery Disease
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Improving Image Quality and Diagnostic Performance of CCTA in Patients with Challenging Heart Rate Conditions using a Deep Learning-based Motion Correction Algorithm.

Current medical imaging Jan 1, 2024
OBJECTIVE: Challenging HR conditions, such as elevated Heart Rate (HR) and Heart Rate Variability (HRV), are major contributors to motion artifacts in Coronary Computed Tomography Angiography (CCTA). This study aims to assess the impact of a deep lea...
Signal-To-Noise Ratio Computed Tomography Angiography Motion Heart Rate Artifacts Deep Learning Coronary Angiography Coronary Artery Disease Humans Algorithms Retrospective Studies Male Middle Aged Female Aged
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Development of an efficient novel method for coronary artery disease prediction using machine learning and deep learning techniques.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Heart disease is a severe health issue that results in high fatality rates worldwide. Identifying cardiovascular diseases such as coronary artery disease (CAD) and heart attacks through repetitive clinical data analysis is a significant t...
Deep Learning Support Vector Machine Bayes Theorem Female Male Middle Aged Coronary Artery Disease Humans Neural Networks, Computer Machine Learning Algorithms
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Enhanced CT imaging artificial neural network coronary artery calcification score assisted diagnosis.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: The study of coronary artery calcification (CAC) may assist in identifying additional coronary artery problem protective factors. On the contrary side, due to the wide variety of CAC as individuals, CAC research is difficult. Due to this,...
Machine Learning Algorithms Tomography, X-Ray Computed Female Humans Neural Networks, Computer Coronary Artery Disease Vascular Calcification Reproducibility of Results Male Middle Aged
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Deep Learning Models for Coronary Atherosclerosis Detection in Coronary CT Angiography.

Current medical imaging Jan 1, 2024
BACKGROUND: Patients with atherosclerosis have a rather high risk of showing complications, if not diagnosed quickly and efficiently.
Computed Tomography Angiography Image Interpretation, Computer-Assisted Neural Networks, Computer Datasets as Topic Humans Wavelet Analysis Risk Assessment Deep Learning Predictive Value of Tests Coronary Angiography Coronary Artery Disease
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Pivotal trial of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from CMERC-HI.

Journal of the American Medical Informatics Association : JAMIA Dec 22, 2023
OBJECTIVE: The potential of using retinal images as a biomarker of cardiovascular disease (CVD) risk has gained significant attention, but regulatory approval of such artificial intelligence (AI) algorithms is lacking. In this regulated pivotal trial...
Coronary Artery Disease Ankle Brachial Index Carotid Intima-Media Thickness Cardiovascular Diseases Deep Learning Pulse Wave Analysis Biomarkers Humans Retrospective Studies Artificial Intelligence Risk Factors
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Changes of plasma Rap1A levels in patients with in-stent restenosis after percutaneous coronary intervention and the underlying mechanisms.

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences Nov 28, 2023
OBJECTIVES: Percutaneous coronary intervention (PCI) is one of the most important treatments for coronary artery disease (CAD). However, in-stent restenosis (ISR) after PCI is a serious complication without effective measures for prevention and treat...
Coronary Artery Disease Human Umbilical Vein Endothelial Cells RNA, Messenger Humans Vascular Cell Adhesion Molecule-1 Inflammation Cholesterol, LDL Tumor Necrosis Factor-alpha Percutaneous Coronary Intervention Diabetes Mellitus Coronary Restenosis Interleukin-6 Constriction, Pathologic
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Machine learning-based markers for CAD.

Lancet (London, England) Jul 15, 2023
Coronary Artery Disease Humans Machine Learning
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Machine learning-based markers for CAD.

Lancet (London, England) Jul 15, 2023
Humans Machine Learning Coronary Artery Disease
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