AIMC Topic: Atherosclerosis

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Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population.

BMC medical informatics and decision making Jul 24, 2023
BACKGROUND: Accurately predicting the risk of atherosclerotic cardiovascular disease (ASCVD) is crucial for implementing individualized prevention strategies and improving patient outcomes. Our objective is to develop machine learning (ML)-based mode...
Prospective Studies Female Risk Factors Adult Humans Machine Learning China East Asian People Atherosclerosis Models, Cardiovascular Male Cardiovascular Diseases Middle Aged Risk Assessment
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Safety and feasibility study of non-invasive robot-assisted high-intensity focused ultrasound therapy for the treatment of atherosclerotic plaques in the femoral artery: protocol for a pilot study.

BMJ open May 2, 2022
INTRODUCTION: Peripheral arterial disease (PAD) is an atherosclerotic disease leading to stenosis and/or occlusion of the arterial circulation of the lower extremities. The currently available revascularisation methods have an acceptable initial succ...
Extracorporeal Shockwave Therapy Humans Peripheral Arterial Disease Atherosclerosis Quality of Life Robotics Pilot Projects Constriction, Pathologic Feasibility Studies Lower Extremity Plaque, Atherosclerotic Femoral Artery
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Research Progress of Machine Learning and Deep Learning in Intelligent Diagnosis of the Coronary Atherosclerotic Heart Disease.

Computational and mathematical methods in medicine Apr 26, 2022
The coronary atherosclerotic heart disease is a common cardiovascular disease with high morbidity, disability, and societal burden. Early, precise, and comprehensive diagnosis of the coronary atherosclerotic heart disease is of great significance. Th...
Humans Artificial Intelligence Machine Learning Heart Diseases Algorithms Deep Learning Coronary Angiography Atherosclerosis
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Deep Learning-based Automated Aortic Area and Distensibility Assessment: the Multi-Ethnic Study of Atherosclerosis (MESA).

Journal of digital imaging Mar 1, 2022
This study details application of deep learning for automatic segmentation of the ascending and descending aorta from 2D phase-contrast cine magnetic resonance imaging for automatic aortic analysis on the large MESA cohort with assessment on an exter...
Humans Algorithms Deep Learning Magnetic Resonance Imaging Atherosclerosis Aorta
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A machine learning pipeline revealing heterogeneous responses to drug perturbations on vascular smooth muscle cell spheroid morphology and formation.

Scientific reports Dec 2, 2021
Machine learning approaches have shown great promise in biology and medicine discovering hidden information to further understand complex biological and pathological processes. In this study, we developed a deep learning-based machine learning algori...
rac GTP-Binding Proteins cdc42 GTP-Binding Protein Focal Adhesion Kinase 1 Neointima Humans Machine Learning Cells, Cultured Atherosclerosis Muscle, Smooth, Vascular Spheroids, Cellular Vascular System Injuries
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Vesseg: An Open-Source Tool for Deep Learning-Based Atherosclerotic Plaque Quantification in Histopathology Images-Brief Report.

Arteriosclerosis, thrombosis, and vascular biology Aug 12, 2021
Objective: Manual plaque segmentation in microscopy images is a time-consuming process in atherosclerosis research and potentially subject to unacceptable user-to-user variability and observer bias. We address this by releasing Vesseg a tool that inc...
Vascular Remodeling Mice, Knockout, ApoE Plaque, Atherosclerotic Arteries Atherosclerosis Severity of Illness Index Microscopy Diagnosis, Computer-Assisted Image Interpretation, Computer-Assisted Deep Learning Mice Software Female Staining and Labeling Reproducibility of Results Disease Models, Animal Animals Mice, Inbred C57BL Male Predictive Value of Tests
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Computed Tomography Angiography under Deep Learning in the Treatment of Atherosclerosis with Rapamycin.

Journal of healthcare engineering Jul 22, 2021
The clinical characteristics and vascular computed tomography (CT) imaging characteristics of patients were explored so as to assist clinicians in diagnosing patients with atherosclerosis. 316 patients with atherosclerosis who were hospitalized for e...
Humans Image Processing, Computer-Assisted Tomography, X-Ray Computed Atherosclerosis Deep Learning Computed Tomography Angiography Sirolimus
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Leveraging Machine Learning and Artificial Intelligence to Improve Peripheral Artery Disease Detection, Treatment, and Outcomes.

Circulation research Jun 10, 2021
Peripheral artery disease is an atherosclerotic disorder which, when present, portends poor patient outcomes. Low diagnosis rates perpetuate poor management, leading to limb loss and excess rates of cardiovascular morbidity and death. Machine learnin...
Peripheral Arterial Disease Natural Language Processing Humans Atherosclerosis Artificial Intelligence Phenotype Behavior Therapy Machine Learning Supervised Machine Learning Prognosis Carotid Artery Diseases Algorithms Risk Assessment Forecasting Treatment Outcome Image Interpretation, Computer-Assisted Life Style Aortic Aneurysm
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Atherosclerotic Burden and Remodeling Patterns of the Popliteal Artery as Detected in the Magnetic Resonance Imaging Osteoarthritis Initiative Data Set.

Journal of the American Heart Association May 17, 2021
Background An artificial intelligence vessel segmentation tool, Fully Automated and Robust Analysis Technique for Popliteal Artery Evaluation (FRAPPE), was used to analyze a large databank of popliteal arteries imaged through the OAI (Osteoarthritis ...
Prospective Studies Female Aged Male Humans Artificial Intelligence Middle Aged Vascular Remodeling Magnetic Resonance Imaging Popliteal Artery Atherosclerosis Osteoarthritis
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Using CNN and HHT to Predict Blood Pressure Level Based on Photoplethysmography and Its Derivatives.

Biosensors Apr 13, 2021
According to the WTO, there were 1.13 billion hypertension patients worldwide in 2015. The WTO encouraged people to check the blood pressure regularly because a large amount of patients do not have any symptoms. However, traditional cuff measurement ...
Vital Signs Humans Neural Networks, Computer Hypertension Algorithms Photoplethysmography Blood Pressure Atherosclerosis
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