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CVAI Catalog

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-FM

University of Toronto / Vector Institute (Bo Wang Lab) · Base pretrained · 2024

graph_1

Code & model weights public

Open ECG foundation model with 90.9M parameters, built on a wav2vec 2.0-style Transformer and pretrained on 1.25-1.5 million ECGs using a hybrid contrastive-and-generative self-supervised objective. Base pretrained weights and MIMIC-IV-ECG-finetuned downstream checkpoints are both released. Developed on the fairseq_signals framework by the University of Toronto / Vector Institute's Wang lab.

12-lead ECG

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ECG

Atrial fibrillation

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Arrhythmia

LV systolic dysfunction (LVSD)

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Cardiac Function & Hemodynamics

General Purpose / Multi-task

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General / Foundation

Binary classification

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Classification

Multi-label classification

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Classification

Transformer

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Transformer

PyTorch

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PyTorch

MIT

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Permissive

Model ID: 0020

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Subject Count: 161,352