Cardiovascular

Myocardial Infarction

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

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Showing 148-168 of 6,871 articles
Classifying metro drivers' cognitive distractions during manual operations using machine learning and random forest-recursive feature elimination.

Metro drivers are more likely to trigger accidents if they suffer from cognitive distractions during...

Reliability and validity of a novel single-lead portable electrocardiogram device for pregnant women: a comparative study.

BACKGROUND: WenXinWuYang, a novel portable Artificial Intelligence Electrocardiogram (AI-ECG) device...

Texture-based probability mapping for automatic assessment of myocardial injury in late gadolinium enhancement images after revascularized STEMI.

BACKGROUND: Late Gadolinium-enhancement in cardiac magnetic resonance imaging (LGE-CMR) is the gold ...

Interpretation of cardiopulmonary exercise test by GPT - promising tool as a first step to identify normal results.

BACKGROUND: Cardiopulmonary exercise testing (CPET) is used in the evaluation of unexplained dyspnea...

Deep Learning-Based Electrocardiogram Model (EIANet) to Predict Emergency Department Cardiac Arrest: Development and External Validation Study.

BACKGROUND: In-hospital cardiac arrest (IHCA) is a severe and sudden medical emergency that is chara...

Investigation of Inter-Patient, Intra-Patient, and Patient-Specific Based Training in Deep Learning for Classification of Heartbeat Arrhythmia.

Effective diagnosis of electrocardiogram (ECG) is one of the simplest and fastest ways to assess the...

Imbalanced Power Spectral Generation for Respiratory Rate and Uncertainty Estimations Based on Photoplethysmography Signal.

Respiratory rate (RR) changes in the elderly can indicate serious diseases. Thus, accurate estimatio...

Deep Learning Approach for Automatic Heartbeat Classification.

Arrhythmia is an irregularity in the rhythm of the heartbeat, and it is the primary method for detec...

The Evolving Paradigm of Myocardial Infarction in the Era of Artificial Intelligence.

The classification and treatment of myocardial infarction (MI) have evolved significantly over the p...

Traditional and machine learning models for predicting haemorrhagic transformation in ischaemic stroke: a systematic review and meta-analysis.

BACKGROUND: Haemorrhagic transformation (HT) is a severe complication after ischaemic stroke, but id...

EffNet: an efficient one-dimensional convolutional neural networks for efficient classification of long-term ECG fragments.

Early Diagnosis of Cardiovascular disease (CVD) is essential to prevent a person from death in case ...

AI-Cirrhosis-ECG (ACE) score for predicting decompensation and liver outcomes.

BACKGROUND & AIMS: Accurate prediction of disease severity and prognosis are challenging in patients...

Artificial Intelligence ECG Diastolic Dysfunction and Survival in Cardiac Intensive Care Unit Patients.

BACKGROUND: Left ventricular diastolic dysfunction (LVDD) predicts mortality in patients in cardiac ...

Temporal and spatial self supervised learning methods for electrocardiograms.

The limited availability of labeled ECG data restricts the application of supervised deep learning m...

Antifreezing Ultrathin Bioionic Gel-Based Wearable System for Artificial Intelligence-Assisted Arrhythmia Diagnosis in Hypothermia.

Cardiovascular disease (CAD) is a major global public health issue, with mortality rates being signi...

Classification patterns identification of immunogenic cell death-related genes in heart failure based on deep learning.

Heart failure (HF) is a complex and prevalent condition, particularly in the elderly, presenting sym...

Thermo-responsive and phase-separated hydrogels for cardiac arrhythmia diagnosis with deep learning algorithms.

Adhesive epidermal hydrogel electrodes are essential for achieving robust signal transduction and ca...

A machine learning based death risk analysis and prediction of ST-segment elevation myocardial infarction (STEMI) patients.

Acute myocardial infarction is a condition in which a part of the heart muscle cannot receive enough...

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