README.md

metadata

title: ECG to ECHO Screening AI
emoji: 🫀
colorFrom: blue
colorTo: indigo
sdk: streamlit
sdk_version: 1.39.0
python_version: '3.10'
app_file: app.py
pinned: false
license: cc-by-nc-4.0

🫀 ECG → ECHO Clinical Screening AI

AI-powered screening tool that predicts Left Ventricular Dysfunction and Regional Wall Motion Abnormalities from a single 12-lead ECG image. Designed for rural cardiac screening in resource-limited settings.

How it works

A 5-fold ensemble of EfficientNet-B3 (NoisyStudent pretrained) models analyzes the ECG image and outputs:

1. EF Risk — likelihood of reduced ejection fraction (< 55%)
2. RWMA Risk — likelihood of regional wall motion abnormality

Training

• Dataset: 500 paired ECG-ECHO records from cardiology clinic in Karnataka, India
• Validation: 5-fold Multilabel Stratified K-Fold cross-validation
• Backbone: EfficientNet-B3 with NoisyStudent pretraining

⚠️ Disclaimer

This is a research prototype for screening purposes only. NOT approved for clinical diagnostic use. All predictions must be reviewed by a qualified cardiologist.