Electrocardiogram-Based Deep Learning to Prioritize Testing for Transthyretin Amyloid Cardiomyopathy
JAMA 10.1001/jama.2026.16785August 28, 2026 at 7:15 AM EDT
Locally deployable AI applied to ECG images discriminated ATTR-CM across multinational retrospective and screening cohorts. This approach may provide an accessible first step to prioritize selected patients for echocardiography and confirmatory imaging, although intended use and calibration require prospective evaluation.
Meeting Information: ESC 2026
This paper will be presented during European Society of Cardiology Congress in Munich, Germany.
Local Embargo Time: 13:15 (1:15 P.M.) CEST.
ESC Presentation: Philip Croon will present the findings during an ePoster round, “State-of-the-art in artificial intelligence for electrocardiography research,” at Exchange Circle 6 in the Research Gateway.
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