atrial fibrillation
PulseAugur coverage of atrial fibrillation — every cluster mentioning atrial fibrillation across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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Cardiologent: Multi-agent AI system aids arrhythmia assessment and management
Researchers have developed Cardiologent, a multi-agent clinical decision support system designed to assess patient-level arrhythmia, urgency, and management. Unlike previous systems that focus on single ECG readings or …
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Smartwatch detects silent heart attack, saving owner's life
A high-end Smart Health Watch with advanced ECG and Photoplethysmography (PPG) sensors alerted Elena Rostova to a silent heart attack. The watch detected a high heart rate and signs of acute cardiac distress, prompting …
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AI model Echo2ECG enhances ECG analysis with echocardiography data
Researchers have developed Echo2ECG, a novel multimodal self-supervised learning framework designed to enhance electrocardiography (ECG) representations by incorporating cardiac morphology data from multi-view echocardi…
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AI research explores explainability and synthetic data for efficient ECG classification
Researchers have developed two novel approaches to improve the efficiency and performance of deep learning models in clinical time-series analysis, specifically for electrocardiogram (ECG) classification. One method, ER…
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Interpretable ML model predicts atrial fibrillation risk
Researchers have developed an interpretable machine learning model, named Pre-AF 13, to predict the risk of atrial fibrillation (AF) in cardiovascular disease patients. The model, trained on electronic health records fr…