AIMC Topic: Coronary Disease

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Vascular Age Assessed From an Uncalibrated, Noninvasive Pressure Waveform by Using a Deep Learning Approach: The AI-VascularAge Model.

Hypertension (Dallas, Tex. : 1979) Oct 30, 2023
BACKGROUND: Aortic stiffness, assessed as carotid-femoral pulse wave velocity, provides a measure of vascular age and risk for adverse cardiovascular disease outcomes, but it is difficult to measure. The shape of arterial pressure waveforms conveys i...
Artificial Intelligence Risk Factors Cardiovascular Diseases Deep Learning Humans Cholesterol Heart Failure Carotid Arteries Coronary Disease Blood Pressure Vascular Stiffness Pulse Wave Analysis
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Precision epigenetics provides a scalable pathway for improving coronary heart disease care globally.

Epigenomics Sep 13, 2023
Coronary heart disease (CHD) is the world's leading cause of death. Up to 90% of all CHD deaths are preventable, but effective prevention of this mortality requires more scalable, precise methods for assessing CHD status and monitoring treatment resp...
DNA Methylation Epigenesis, Genetic Coronary Disease Epigenomics Humans Artificial Intelligence
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Association of retinal microvascular density and complexity with incident coronary heart disease.

Atherosclerosis Jul 27, 2023
BACKGROUND AND AIMS: The high mortality rate and huge disease burden of coronary heart disease (CHD) highlight the importance of its early detection and timely intervention. Given the non-invasive nature of fundus photography and recent development i...
Humans Coronary Disease Male Microvessels Middle Aged Microvascular Density Artificial Intelligence Incidence Female Risk Factors
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All-Cause Death Prediction Method for CHD Based on Graph Convolutional Networks.

Computational intelligence and neuroscience Jul 18, 2022
Coronary heart disease (CHD) has become one of the most serious public health issues due to its high morbidity and mortality rates. Most of the existing coronary heart disease risk prediction models manually extract features based on shallow machine ...
Neural Networks, Computer Machine Learning Coronary Disease Humans
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Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features.

BMC medical imaging Jan 19, 2022
BACKGROUND: Automated segmentation of coronary arteries is a crucial step for computer-aided coronary artery disease (CAD) diagnosis and treatment planning. Correct delineation of the coronary artery is challenging in X-ray coronary angiography (XCA)...
Coronary Angiography Coronary Vessels Coronary Disease Humans Deep Learning Image Processing, Computer-Assisted
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Prediction of coronary heart disease based on combined reinforcement multitask progressive time-series networks.

Methods (San Diego, Calif.) Dec 23, 2021
Coronary heart disease is the first killer of human health. At present, the most widely used approach of coronary heart disease diagnosis is coronary angiography, a surgery that could potentially cause some physical damage to the patients, together w...
Heart Coronary Disease Neural Networks, Computer Time Factors Humans
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Association Between Coffee Intake and Incident Heart Failure Risk: A Machine Learning Analysis of the FHS, the ARIC Study, and the CHS.

Circulation. Heart failure Feb 9, 2021
BACKGROUND: Coronary heart disease, heart failure (HF), and stroke are complex diseases with multiple phenotypes. While many risk factors for these diseases are well known, investigation of as-yet unidentified risk factors may improve risk assessment...
Proportional Hazards Models Coronary Disease Red Meat Protective Factors Heart Disease Risk Factors Milk Coffee Incidence Stroke Heart Failure Female Aged Animals Middle Aged Diet Male Cardiovascular Diseases Humans Machine Learning
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A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre.

Nature biomedical engineering Oct 12, 2020
Retinal blood vessels provide information on the risk of cardiovascular disease (CVD). Here, we report the development and validation of deep-learning models for the automated measurement of retinal-vessel calibre in retinal photographs, using divers...
Blood Pressure Glycated Hemoglobin Cholesterol Retina Image Interpretation, Computer-Assisted Stroke Myocardial Infarction Risk Assessment Deep Learning Body Mass Index Adult Male Middle Aged Retinal Vessels Datasets as Topic Female Aged Hypertensive Retinopathy Coronary Disease Humans Risk Factors Aged, 80 and over Photography Retrospective Studies
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AI-based prediction for the risk of coronary heart disease among patients with type 2 diabetes mellitus.

Scientific reports Sep 2, 2020
Type 2 diabetes mellitus (T2DM) is one common chronic disease caused by insulin secretion disorder that often leads to severe outcomes and even death due to complications, among which coronary heart disease (CHD) represents the most common and severe...
Male Middle Aged Diabetes Mellitus, Type 2 Humans Female Coronary Disease Artificial Intelligence Risk Factors Aged
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Exploring the mechanism of TCM formulae in the treatment of different types of coronary heart disease by network pharmacology and machining learning.

Pharmacological research Jun 18, 2020
Traditional Chinese medicine (TCM) has long been used in the clinical treatment of coronary heart disease (CHD). TCM is characterized by syndrome-based medication, which is, using different TCM formulae for different syndromes. However, the underlyin...
Cluster Analysis Signal Transduction Coronary Disease Humans Cardiovascular Agents Databases, Protein Treatment Outcome Machine Learning Drugs, Chinese Herbal Medicine, Chinese Traditional Protein Interaction Maps
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