myocardial infarction
PulseAugur coverage of myocardial infarction — every cluster mentioning myocardial infarction across labs, papers, and developer communities, ranked by signal.
- 2026-06-02 research_milestone A new AI model was proposed for reconstructing 3D myocardial infarction geometry from cine MRI. source
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New AI framework fuses motion and vision for heart attack localization
Researchers have developed MCF-Net, a novel framework for localizing myocardial infarction using echocardiography. This system fuses visual features from the EchoPrime foundation model with cardiac motion cues, addressi…
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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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New AI framework digitizes paper ECGs for remote heart attack screening
Researchers have developed ECGLight, a compute-light framework designed to digitize paper electrocardiogram (ECG) printouts and screen for myocardial infarction (MI). This on-device system converts smartphone photos of …
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AI model predicts heart attack deaths and identifies key biomarkers
Researchers have developed a deep artificial neural network combined with ensemble machine learning methods to predict lethal outcomes from acute myocardial infarction (MI) and identify key biomarkers. The model address…
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New EURO and ACUTE methods improve AI model confidence scoring
Researchers have developed a new method called EURO to score model confidence, addressing the challenge of perfect calibration being exploitable by base rate guessing. EURO evaluates confidence based on the payoff of tr…
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AI reconstructs 3D heart scar geometry from MRI
Researchers have developed a new method to reconstruct 3D models of myocardial infarction (MI) from cine MRI scans, bypassing the need for contrast agents. This approach utilizes a novel explicit geometry-motion embedde…
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New HEAR agent improves LLM reasoning for enterprise systems
Researchers have developed a new enterprise agentic reasoner called HEAR, designed to overcome limitations of current LLM applications in complex business systems. HEAR utilizes a Stratified Hypergraph Ontology to virtu…
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AI model predicts cardiovascular disease progression using ECG data
Researchers have developed a novel artificial intelligence model designed to predict the progression of cardiovascular disease following a myocardial infarction. This model leverages self-supervised learning on unlabele…