Myocardial Infarction

Latest AI and machine learning research in myocardial infarction for healthcare professionals.

7,976 articles

Cardiology Subcategories: Acute Coronary Syndrome Arrhythmias Atherosclerosis Congestive Heart Failure Dyslipidemia Hypertension Metabolic Syndrome Myocardial Infarction PCI Peripheral Artery Disease Prevention Strokes Venous Thrombosis

Showing 1828-1848 of 7,976 articles

Classification of Aortic Stenosis Using ECG by Deep Learning and its Analysis Using Grad-CAM.

This paper proposes an automatic method for classifying Aortic valvular stenosis (AS) using ECG (Ele...

Jul 2020 33018287

Multi-level Stress Assessment Using Multi-domain Fusion of ECG Signal.

Stress analysis and assessment of affective states of mind using ECG as a physiological signal is a ...

Jul 2020 33018998

Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers.

Blood infection due to different circumstances could immediately develop to an extreme body reaction...

Jul 2020 33019253

Deep learning for comprehensive ECG annotation.

BACKGROUND: Increasing utilization of long-term outpatient ambulatory electrocardiographic (ECG) mon...

May 2020 32354454

Machine Learning on High-Dimensional Data to Predict Bleeding Post Percutaneous Coronary Intervention.

INTRODUCTION: The purpose of the current study is to determine the accuracy of machine learning in p...

May 2020 32357133

[Detection of inferior myocardial infarction based on densely connected convolutional neural network].

Inferior myocardial infarction is an acute ischemic heart disease with high mortality, which is easy...

Feb 2020 32096388

Autonomic perspiration in 3D-printed hydrogel actuators.

In both biological and engineered systems, functioning at peak power output for prolonged periods of...

Jan 2020 33022596

Contribution of neural networks in the diagnosis and treatment of cardiac arrhythmia.

Arrhythmia is a dangerous disease in which the heart rhythm varies and it may be very fast or very s...

Jan 2020 33357360

Machine learning versus traditional risk stratification methods in acute coronary syndrome: a pooled randomized clinical trial analysis.

Traditional statistical models allow population based inferences and comparisons. Machine learning (...

Jan 2020 31535314

Association between Serum Vitamin D Concentration Status and Matrix Metalloproteinase-9 in Patients Undergoing Elective Percutaneous Coronary Intervention.

Cardiovascular diseases (CVD) have become increasingly life-threatening during recent decades. Sever...

Jan 2020 33841529

Heterogeneity of perception of symptoms in patients with asthma.

BACKGROUND: Cough-dominant or cough-variant asthma is common in Japan. However, it is unclear whethe...

Dec 2019 32030239

Relationship of soluble ST2 to pulmonary hypertension severity in patients undergoing cardiac resynchronization therapy.

BACKGROUND: Pulmonary hypertension (PH) is an adverse prognostic marker in patients undergoing cardi...

Dec 2019 32030254

A fitting machine learning prediction model for short-term mortality following percutaneous catheterization intervention: a nationwide population-based study.

BACKGROUND: A suitable multivariate predictor for predicting mortality following percutaneous corona...

Dec 2019 32042748

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Myocardial Infarction

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Classification of Aortic Stenosis Using ECG by Deep Learning and its Analysis Using Grad-CAM.

Multi-level Stress Assessment Using Multi-domain Fusion of ECG Signal.

Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers.

Deep learning for comprehensive ECG annotation.

Machine Learning on High-Dimensional Data to Predict Bleeding Post Percutaneous Coronary Intervention.

[Detection of inferior myocardial infarction based on densely connected convolutional neural network].

Autonomic perspiration in 3D-printed hydrogel actuators.

Contribution of neural networks in the diagnosis and treatment of cardiac arrhythmia.

Machine learning versus traditional risk stratification methods in acute coronary syndrome: a pooled randomized clinical trial analysis.

Association between Serum Vitamin D Concentration Status and Matrix Metalloproteinase-9 in Patients Undergoing Elective Percutaneous Coronary Intervention.

Heterogeneity of perception of symptoms in patients with asthma.

Relationship of soluble ST2 to pulmonary hypertension severity in patients undergoing cardiac resynchronization therapy.

A fitting machine learning prediction model for short-term mortality following percutaneous catheterization intervention: a nationwide population-based study.

Successful Resuscitation of a Young Girl Who Drank Rivastigmine With Respiratory Failure.

Detection and Classification of Chronic Total Occlusion lesions using Deep Learning.

Deep Learning Based Patient-Specific Classification of Arrhythmia on ECG signal.

Deep Learning Approach for Highly Specific Atrial Fibrillation and Flutter Detection based on RR Intervals.

A Robust Machine Learning Architecture for a Reliable ECG Rhythm Analysis during CPR.

A Deep Learning Method to Detect Atrial Fibrillation Based on Continuous Wavelet Transform.

An Electrocardiogram Delineator via Deep Segmentation Network.

Myocardial Infarction Detection Based on Multi-lead Ensemble Neural Network.

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