Cardiovascular

Peripheral Artery Disease

Latest AI and machine learning research in peripheral artery disease for healthcare professionals.

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Potassium selenocyanoacetate reduces the blood triacylglycerol and atherosclerotic plaques in high-fat-dieted mice.

BACKGROUND: Controlling blood lipid levels at the early stage of cardiovascular disease is a major f...

Postoperative changes of the free pericardial fat pad for bronchial stump coverage.

BACKGROUND: Bronchopleural fistula (BPF) remains a serious complication after surgery for lung cance...

Motion-compensated frame rate up-conversion in carotid ultrasound images using optical flow and manifold learning.

OBJECTIVE: Carotid ultrasonography is a reliable and non-invasive method to evaluate atherosclerosis...

Ex-vivo antihypertensive and calcium channel blocking activity of Androsace foliosa n-hexane leaves fraction on isolated rabbit aorta.

Hypertension is persistent elevation in blood pressure for 3-4 weeks. Estimated global prevalence of...

Predicting Gastrointestinal Bleeding Events from Multimodal In-Hospital Electronic Health Records Using Deep Fusion Networks.

Applying machine learning (ML) methods on electronic health records (EHRs) that accurately predict t...

Detection of Left Ventricular Hypertrophy Using Bayesian Additive Regression Trees: The MESA.

Background We developed a new left ventricular hypertrophy ( LVH ) criterion using a machine-learnin...

Predicting Future Cardiovascular Events in Patients With Peripheral Artery Disease Using Electronic Health Record Data.

BACKGROUND: Patients with peripheral artery disease (PAD) are at risk of major adverse cardiac and c...

Relationship of the low-density lipoprotein (LDL)/high-density lipoprotein (HDL) index with antioxidant enzymes and with the oxLDL/HDL index.

INTRODUCTION: The low-density lipoprotein (LDL)/high-density lipoprotein (HDL) index is a predictive...

Prediction of Citrullination Sites on the Basis of mRMR Method and SNN.

BACKGROUND: Citrullination, an important post-translational modification of proteins, alters the mol...

Atherosclerotic carotid plaque on panoramic radiographs: neural network detection.

AIM: Atherosclerotic carotid plaques (ACPs) constitute the main etiological factor in about 15% of s...

Big Data Cohort Extraction for Personalized Statin Treatment and Machine Learning.

The creation of big clinical data cohorts for machine learning and data analysis require a number of...

Machine Learning Outperforms ACC / AHA CVD Risk Calculator in MESA.

Background Studies have demonstrated that the current US guidelines based on American College of Car...

Proton pump inhibitors receiving and prognosis of patients after scheduled percutaneous coronary interventions.

AIM: The urgency of the study is determined by the lack of data necessary in order to assess the saf...

Lumen Segmentation in Optical Coherence Tomography Images using Convolutional Neural Network.

Lumen segmentation in Optical Coherence Tomography (OCT) images is a very important step to analyze ...

[Medical computer-aided detection method based on deep learning].

This paper performs a comprehensive study on the computer-aided detection for the medical diagnosis ...

Can We Train Machine Learning Methods to Outperform the High-dimensional Propensity Score Algorithm?

The use of retrospective health care claims datasets is frequently criticized for the lack of comple...

Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions.

Heavy smokers undergoing screening with low-dose chest CT are affected by cardiovascular disease as ...

Predictive Factors for Post-Ischemic Compartment Syndrome in Non-Traumatic Acute Limb Ischemia in a Lower Extremity.

: Compartment syndrome (CS) is serious complication following revascularization of acute limb ischem...

[Comparison of outcomes of two minimally invasive approaches for multi-vessel coronary revascularization].

OBJECTIVE: To compare the safety and effectiveness of two minimally invasive approaches for multi-ve...

The role of Lp-PLA and biochemistry parameters as potential biomarkers of coronary artery disease in Asian South-Indians: a case-control study.

BACKGROUND: Coronary artery disease (CAD) is the leading cause of death and disability worldwide. Li...

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