Cardiovascular

Myocardial Infarction

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

6,892 articles
Stay Ahead - Weekly Myocardial Infarction research updates
Subscribe
Browse Categories
Showing 1009-1029 of 6,892 articles
Electrochemiluminescent detection of cardiac troponin I by using soybean peroxidase labeled-antibody as signal amplifier.

This work proposed an electrochemiluminescence (ECL) immunosensor for quantitative monitoring of car...

High-dose atorvastatin versus moderate dose on early vascular protection after ST-elevation myocardial infarction.

BACKGROUND AND AIM: Clinical benefits of early high-dose statin therapy after acute coronary syndrom...

Prognostic value of postoperative high-sensitivity troponin T in patients with different stages of kidney disease undergoing noncardiac surgery.

BACKGROUND: Emerging evidence suggests that postoperative troponin release is a strong and independe...

Gastro-protective effect of methanol extract of (del.) leaf on aspirin-induced gastric ulcer in Wistar rats.

This study investigated the protective effects of methanol extract of leaf (MEVA) on aspirin induce...

Real-Time Multilead Convolutional Neural Network for Myocardial Infarction Detection.

In this paper, a novel algorithm based on a convolutional neural network (CNN) is proposed for myoca...

Loculated transudative pleural effusion masquerading as right upper lobe consolidation in a haemodialysis patient.

Pleural effusion is a common encounter in renal failure patients and frequently possess a diagnostic...

DanHong injection targets endothelin receptor type B and angiotensin II receptor type 1 in protection against cardiac hypertrophy.

Cardiac hypertrophy (CH) is an independent risk factor for cardiovascular diseases (CVDs). Mitigatin...

Risk prediction model for in-hospital mortality in women with ST-elevation myocardial infarction: A machine learning approach.

BACKGROUND: Studies had shown that mortality due to ST-elevation myocardial infarction (STEMI) is hi...

ECG data compression using a neural network model based on multi-objective optimization.

Electrocardiogram (ECG) data analysis is of great significance to the diagnosis of cardiovascular di...

Localization of Origins of Premature Ventricular Contraction by Means of Convolutional Neural Network From 12-Lead ECG.

OBJECTIVE: This paper proposes a novel method to localize origins of premature ventricular contracti...

Outcomes of Obese and Morbidly Obese Patients Undergoing Percutaneous Coronary Intervention.

BACKGROUND: The risks of percutaneous coronary intervention (PCI) in obese and particularly morbidly...

Robotics in percutaneous cardiovascular interventions.

The fundamental technique of performing percutaneous cardiovascular (CV) interventions has remained ...

Clopidogrel-Induced Insulin Autoimmune Syndrome: A Newly Recognized Cause of Hypoglycemia in a Patient Without Diabetes.

Insulin autoimmune syndrome (IAS), defined as hyperinsulinemic hypoglycemia with high titers of anti...

A deep convolutional neural network model to classify heartbeats.

The electrocardiogram (ECG) is a standard test used to monitor the activity of the heart. Many cardi...

A Wireless ExG Interface for Patch-Type ECG Holter and EMG-Controlled Robot Hand.

This paper presents a wearable electrophysiological interface with enhanced immunity to motion artif...

Robotic technology in interventional cardiology: Current status and future perspectives.

Robotic technology has been utilized in cardiovascular medicine for over a decade, and over that per...

Performance comparison between wrist and chest actigraphy in combination with heart rate variability for sleep classification.

The concurrent usage of actigraphy and heart rate variability (HRV) for sleep efficiency quantificat...

Combining Low-dimensional Wavelet Features and Support Vector Machine for Arrhythmia Beat Classification.

Automatic feature extraction and classification are two main tasks in abnormal ECG beat recognition....

Classification of ECG heartbeats using nonlinear decomposition methods and support vector machine.

Classifying electrocardiogram (ECG) heartbeats for arrhythmic risk prediction is a challenging task ...

Separation and determination of acetyl-glutamine enantiomers by HPLC-MS and its application in pharmacokinetic study.

A high-performance liquid chromatography coupled with mass spectrometry (HPLC-MS) method was establi...

What Is High Enough? Elevated NT-pro-BNP in Decompensated Paroxysmal Supraventricular Tachycardia.

Since the late 1980s, elevated atrial natriuretic peptide (ANP) was considered the cause of brisk di...

Browse Categories