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Cardiovascular artificial intelligence models for discovery, comparison, and reuse

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1 model found

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1 public code

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1 public weights

ECG-age ResNet (ecg-age-prediction)

Uppsala University / UFMG (Lima et al.) · 2021

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Code & model weights public

1D residual neural network that predicts a patient's age directly from a 12-lead ECG; the gap between this predicted 'ECG age' and true chronological age is used as a biomarker of cardiovascular risk and mortality. Trained on the CODE-15% Brazilian ECG dataset, with the original R² of 0.71 later reproduced (R² = 0.70) in an independent German validation cohort. Developed by researchers at Uppsala University and UFMG.

12-lead ECG

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ECG

Cardiac aging / biological age

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Prognosis & Aging

Regression

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Regression

CNN (1D)

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Convolutional (CNN)

PyTorch

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PyTorch

CC BY 4.0

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Open — Attribution

Model ID: 0011