AIMC Topic: Atrial Fibrillation

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In silico analysis of atrial fibrillation and hypertension mechanism of action secondary to ibrutinib/acalabrutinib in chronic lymphocytic leukemia.

Scientific reports Jul 31, 2025
Ibrutinib and acalabrutinib are first- and next-generation Bruton Tyrosine Kinase inhibitors (BTKi), respectively, approved for chronic lymphocytic leukemia (CLL). Ibrutinib has been associated with cardiovascular events, including atrial fibrillatio...
Pyrazines Atrial Fibrillation Piperidines Protein Kinase Inhibitors Benzamides Agammaglobulinaemia Tyrosine Kinase Adenine Computer Simulation Humans Leukemia, Lymphocytic, Chronic, B-Cell Antineoplastic Combined Chemotherapy Protocols Hypertension
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Biomarker panels for improved risk prediction and enhanced biological insights in patients with atrial fibrillation.

Nature communications Jul 31, 2025
Atrial fibrillation (AF) increases the risk of adverse cardiovascular events, yet the underlying biological mechanisms remain unclear. We evaluate a panel of 12 circulating biomarkers representing diverse pathophysiological pathways in 3817 AF patien...
Risk Factors Aged Male Middle Aged Interleukin-6 Biomarkers Prognosis Female Troponin T Atrial Fibrillation Humans Natriuretic Peptide, Brain Machine Learning Risk Assessment Growth Differentiation Factor 15 Fibrin Fibrinogen Degradation Products Peptide Fragments Stroke Myocardial Infarction
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Poincare guided geometric UNet for left atrial epicardial adipose tissue segmentation in Dixon MRI images.

Scientific reports Jul 15, 2025
Epicardial Adipose Tissue (EAT) is a recognized risk factor for cardiovascular diseases and plays a pivotal role in the pathophysiology of Atrial Fibrillation (AF). Accurate automatic segmentation of the EAT around the Left Atrium (LA) from Magnetic ...
Humans Female Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Adipose Tissue Atrial Fibrillation Aged Male Middle Aged Deep Learning Heart Atria Pericardium Epicardial Adipose Tissue
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Prediction of three-year all-cause mortality in patients with heart failure and atrial fibrillation using the CatBoost model.

BMC cardiovascular disorders Jul 4, 2025
BACKGROUND: Heart failure and atrial fibrillation (HF-AF) frequently coexist, resulting in complex interactions that substantially elevate mortality risk. This study aimed to develop and validate a machine learning (ML) model predicting the 3-year al...
Atrial Fibrillation Boosting Machine Learning Algorithms Time Factors Predictive Value of Tests Cause of Death Heart Failure Retrospective Studies Female Reproducibility of Results Risk Factors Humans Male Machine Learning Middle Aged Decision Support Techniques Risk Assessment Prognosis Aged Aged, 80 and over
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A novel XAI framework for explainable AI-ECG using generative counterfactual XAI (GCX).

Scientific reports Jul 2, 2025
Generative Counterfactual Explainable Artificial Intelligence (XAI) offers a novel approach to understanding how AI models interpret electrocardiograms (ECGs). Traditional explanation methods focus on highlighting important ECG segments but often fai...
Female Male Electrocardiography Atrial Fibrillation Humans Artificial Intelligence Algorithms
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Machine-learning model for predicting left atrial thrombus in patients with paroxysmal atrial fibrillation.

BMC cardiovascular disorders Jun 2, 2025
OBJECTIVE: Left atrial thrombus (LAT) poses a significant risk for stroke and other thromboembolic complication in patients with atrial fibrillation (AF). This study aimed to evaluate the incidence and predictors of LAT in patients with paroxysmal AF...
Male Heart Diseases Middle Aged Risk Assessment Incidence Retrospective Studies China Predictive Value of Tests Humans Female Thrombosis Machine Learning Risk Factors Atrial Fibrillation Decision Support Techniques Aged Prognosis
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Evaluating performance of large language models for atrial fibrillation management using different prompting strategies and languages.

Scientific reports May 30, 2025
This study evaluated large language models (LLMs) using 30 questions, each derived from a recommendation in the 2024 European Society of Cardiology (ESC) guidelines for atrial fibrillation (AF) management. These recommendations were stratified by cla...
Reproducibility of Results Atrial Fibrillation Practice Guidelines as Topic Large Language Models Humans Language
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MicroRNA signature predicts post operative atrial fibrillation after coronary artery bypass grafting.

Scientific reports May 28, 2025
Early detection of atrial fibrillation (AFib) is crucial for altering its natural progression and complication profile. Traditional demographic and lifestyle factors often fail as predictors of AFib. This study investigated pre-operative, circulating...
Atrial Fibrillation Coronary Artery Bypass Middle Aged Postoperative Complications Gene Expression Profiling MicroRNAs Machine Learning Biomarkers Female Aged Humans Male
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Atrial fibrillation detection via contactless radio monitoring and knowledge transfer.

Nature communications May 20, 2025
Atrial fibrillation (AF) has been a prevalent and serious arrhythmia associated with increased morbidity and mortality worldwide. The Electrocardiogram (ECG) is considered as the golden standard for AF diagnosis. However, current ECG is primarily use...
Sensitivity and Specificity Male Middle Aged Electrocardiography Humans Atrial Fibrillation Artificial Intelligence Radar Female Radio
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Deep learning based automated left atrial segmentation and flow quantification of real time phase contrast MRI in patients with atrial fibrillation.

The international journal of cardiovascular imaging Apr 29, 2025
Real time 2D phase contrast (RTPC) MRI is useful for flow quantification in atrial fibrillation (AF) patients, but data analysis requires time-consuming anatomical contouring for many cardiac time frames. Our goal was to develop a convolutional neura...
Reproducibility of Results Aged Male Humans Female Image Interpretation, Computer-Assisted Observer Variation Automation Predictive Value of Tests Middle Aged Blood Flow Velocity Atrial Function, Left Atrial Fibrillation Magnetic Resonance Imaging, Cine Heart Atria Deep Learning Heart Rate Time Factors Magnetic Resonance Imaging
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