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EchoPrime: A Multi-Video View-Informed Vision-Language Model for Comprehensive Echocardiography Interpretation

This repository contains the official inference code for the following paper:

EchoPrime: A Multi-Video View-Informed Vision-Language Model for Comprehensive Echocardiography Interpretation
Milos Vukadinovic, Xiu Tang, Neal Yuan, Paul Cheng, Debiao Li, Susan Cheng, Bryan He*, David Ouyang*
Read the paper on arXiv, See the demo

EchoPrime Demo

How To Use

  1. Clone the repository and navigate to the EchoPrime directory
  2. Download model data wget https://github.com/echonet/EchoPrime/releases/download/v1.0.0/model_data.zip
  3. unzip model_data.zip
  4. Follow EchoPrimeDemo.ipynb notebook

Licence

This project is licensed under the terms of the MIT license.

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