AI model could warn of cardiac arrest 10 to 15 minutes early

Perelman School of Medicine cardiologist Rajat Deo has been studying electrocardiographic (ECG) data and cardiac rhythms for ...
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AI model predicts cardiac arrest up to 15 minutes early

Researchers at the University of Pennsylvania have developed CAMEL, an AI model that can forecast cardiac arrest 10 to 15 minutes before it occurs by analyzing ECG patterns like language. The system ...
Hosted on MSN

AI model forecasts cardiac arrest up to 15 minutes early

Researchers at the University of Pennsylvania have developed an AI model, CAMEL, that can forecast dangerous heart rhythms and cardiac arrest 10–15 minutes before they occur. The system treats ECG ...
Frontiers

Machine Learning and Artificial Intelligence for Optimizing the Diagnosis and Management of Cardiovascular Disease

Artificial intelligence (AI) and machine learning (ML) have emerged as transformative forces in the field of cardiovascular medicine. The increasing ...