Myocardial Infarction

Fusion of multi-scale feature extraction and adaptive multi-channel graph neural network for 12-lead ECG classification.

BACKGROUND AND OBJECTIVE: The 12-lead electrocardiography (ECG) is a widely used diagnostic method i...

Cardiac Phase Estimation Using Deep Learning Analysis of Pulsed-Mode Projections: Toward Autonomous Cardiac CT Imaging.

Cardiac CT plays an important role in diagnosing heart diseases but is conventionally limited by its...

Pediatric Electrocardiogram-Based Deep Learning to Predict Secundum Atrial Septal Defects.

Secundum atrial septal defect (ASD2) detection is often delayed, with the potential for late diagnos...

GenECG: a synthetic image-based ECG dataset to augment artificial intelligence-enhanced algorithm development.

OBJECTIVES: An image-based ECG dataset incorporating visual imperfections common to paper-based ECGs...

[Artificial intelligence-based automated assessment of coronary flow reserve from angiography and the impact of different vasodilators].

To explore the feasibility of a coronary angiography-based method developed with artificial intelli...

Acute myocardial infarction diagnosis: impact of artificial intelligence-powered ECG interpretation.

Artificial intelligence applied to electrocardiogram to rule out acute myocardial infarction: the ROMIAE multicentre study.

BACKGROUND AND AIMS: Emerging evidence supports artificial intelligence-enhanced electrocardiogram (...

IoT driven smart health monitoring for heart disease prediction using quantum kernel enhanced sardine diffusion and CNN.

Heart disease is one of the major causes of death worldwide, and the traditional diagnostic procedur...

Optimized deep residual networks for early detection of myocardial infarction from ECG signals.

Globally, the high number of deaths are happening due to Myocardial infarction (MI). MI is considere...

Challenging Black-Box Models: Interpretable Explanations for ECG Classification.

Deep learning methods achieve high performance, while often lacking explainability, hindering applic...

Deep Learning-Based Chronic Obstructive Pulmonary Disease Exacerbation Prediction Using Flow-Volume and Volume-Time Curve Imaging: Retrospective Cohort Study.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a common and progressive respiratory con...

Artificial Intelligence-Derived Electrocardiographic Age Predicts Mortality in Adults With Congenital Heart Disease.

BACKGROUND: Artificial intelligence (AI) can be used to estimate age from the electrocardiogram (AI-...

Analyzing Key Predictors of Postoperative Delirium Following Coronary Artery Bypass Grafting and Aortic Valve Replacement: A Machine Learning Perspective.

: Postoperative delirium (POD) is a frequent and severe complication following cardiac surgery, part...

Artificial intelligence for chronic total occlusion percutaneous coronary interventions.

Artificial intelligence (AI) has become pivotal in advancing medical care, particularly in intervent...

Modeling Enzyme Reaction and Mutation by Direct Machine Learning/Molecular Mechanics Simulations.

Accurately modeling enzyme reactions through direct machine learning/molecular mechanics simulations...

Prognostic Value Of Deep Learning Based RCA PCAT and Plaque Volume Beyond CT-FFR In Patients With Stent Implantation.

AIM: The study aims to investigate the prognostic value of deep learning based pericoronary adipose ...

Investigating the correlation between smoking and blood pressure via photoplethysmography.

Smoking has been widely identified for its detrimental effects on human health, particularly on the ...

Classification of multi-lead ECG based on multiple scales and hierarchical feature convolutional neural networks.

Detecting and classifying arrhythmias is essential in diagnosing cardiovascular diseases. However, c...

[Pulmonary vascular interventions: innovating through adaptation and advancing through differentiation].

Pulmonary vascular intervention technology, with its minimally invasive and precise advantages, has ...

Cardiovascular Risk Assessment via Sleep Patterns and ECG-Based Biological Age Estimation.

Understanding the intricate relationship between sleep quality and cardiovascular outcomes opens ne...

Performance of fully automated deep-learning-based coronary artery calcium scoring in ECG-gated calcium CT and non-gated low-dose chest CT.

OBJECTIVES: This study aimed to validate the agreement and diagnostic performance of a deep-learning...