AI-driven cardiac ultrasound analysis

Introduction

Heart ultrasound is the most versatile, most widely used, and cost-effective heart imaging method. Accessibility to ultrasound imaging is growing rapidly as the devices are getting cheaper and smaller.

Challenges in Interpretation

However, interpretation of the acquired images creates a bottleneck; it requires substantial skill, it is long, manual, and prone to errors and variability.

Solution Overview

Ligence is remodeling the quality, difficulty, and length of echocardiography with an AI-driven tool to automate the whole analysis of heart ultrasound images.

Technology Implementation

Deep learning neural networks classify heart image views, detect heart cycle phases, and perform measurements.

Integration and Benefits

It seamlessly integrates with existing infrastructure in hospitals, meaning that moments after images are loaded onto the hospital's network, the results are accessible on any workstation.

Outcomes

This results in dramatically increased accessibility and analysis quality, earlier diagnosis, and better patient risk stratification, monitoring, and patient management.