Automated Diagnostic Reports from Images of Electrocardiograms at the Point-of-Care

2024-02-18 cardiovascular medicine Title + abstract only

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BackgroundTimely and accurate assessment of electrocardiograms (ECGs) is crucial for diagnosing, triaging, and clinically managing patients. Current workflows rely on computerized ECG interpretation tools built into ECG signal acquisition systems, which use rule-based algorithms that are unreliable and frequently not available in low-resource settings. We developed and validated a format-independent vision encoder-decoder model - ECG-GPT - that can generate free-text, expert-level interpretation...

Automated Diagnostic Reports from Images of Electrocardiograms at the Point-of-Care

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