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TRV-2026-0773Certified recordPeer-reviewed

Development and External Validation of an AI-ECG Algorithm for Estimating Elevated Serum NT-proBNP Levels

Background N-terminal pro-B-type natriuretic peptide (NT-proBNP) is a cornerstone biomarker for the diagnosis and management of heart failure, but its use may be limited by the need for blood testing and laboratory infrastructure. Artificial intelligence (AI) applied to electrocardiograms (ECGs) may offer a widely accessible, non-invasive approach to estimate NT-proBNP levels. Methods We developed a convolutional neural network incorporating residual and attention-based layers to estimate NT-proBNP levels from s…

Health · G Space — documented gain · certified 2026-08-15 · v1 · article view · machine-readable

Current reading — gain

A convolutional neural network using standard 12-lead ECGs can estimate elevated NT-proBNP levels with strong correlation and good discrimination in internal and external validation.

What this doesn’t fix

Prospective evidence of incremental clinical value and integration into clinical pathways is still lacking, requiring further studies.

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Truvace Impact Record TRV-2026-0773, v1: “Development and External Validation of an AI-ECG Algorithm for Estimating Elevated Serum NT-proBNP Levels.” Truvace, 2026-08-15. /record/TRV-2026-0773 (accessed at citation time). sha256 2c20ca336834df85…

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