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CardioVision-Net: Real-Time Echocardiogram Segmentation
Cardiovascular AI Clinical Trial
Grant Funded ($1.8M)

CardioVision-Net: Real-Time Echocardiogram Segmentation

Lead Investigator: Dr. Sarah Chen

Executive Summary

Developing lightweight neural networks deployable on point-of-care cardiac ultrasound devices for low-resource clinics and emergency response teams.

Technology Stack & Domain Frameworks

PyTorch Ultrasound Real-Time Inference

Methodology & Clinical Validation

Project Overview: CardioVision-Net addresses the acute challenge of rapid ejection fraction estimation and cardiac chamber segmentation directly on portable ultrasound hardware. Key Innovations: 1. Lightweight 2D+T temporal convolution modules operating at 60 FPS on edge hardware. 2. Anatomical shape priors enforcing valid left ventricle chamber contours under noisy ultrasound acoustic shadows. 3. Multi-center clinical validation across 4 tertiary hospitals.

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