Us2.ai develops AI-driven software for echocardiography that automates the generation and interpretation of echocardiogram reports, including advanced strain analysis. This technology enables real-time, accurate cardiac assessments from any ultrasound device, addressing the challenges of expertise variability and slow manual analysis in heart disease diagnosis.
Funding
$15M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
HPIHFounders
Product
Problem
Echocardiogram interpretation is often slow, labor-intensive, and subject to variability due to differing levels of expertise among sonographers and cardiologists. Manual analysis can delay diagnosis and treatment of critical heart conditions, particularly in settings with limited access to specialists.
Solution
Us2.ai offers an AI-powered software solution that automates echocardiogram analysis and report generation, providing real-time, accurate cardiac assessments. The software integrates with a wide range of ultrasound devices, from stationary carts to mobile point-of-care systems, enabling consistent analysis regardless of the operator's experience level. By automating the interpretation of 2D and Doppler echo parameters, including advanced strain analysis, Us2.ai aims to democratize access to high-quality echocardiography and improve patient outcomes. The platform delivers a complete report with zero clicks, reducing workflow time and improving diagnostic accuracy.
Target Audience
The primary target audience includes cardiologists, sonographers, and healthcare providers in hospitals and clinics seeking to improve the efficiency, accuracy, and accessibility of echocardiogram analysis.
Features
- AI-driven automation of 45 echo parameters, including strain analysis
- Real-time 2D and Doppler interpretation
- Compatibility with various ultrasound devices, including GE Vivid and EchoNous Kosmos
- Automated generation of echocardiogram reports with minimal user input
- AI-based grading of Mitral Regurgitation severity
- AI-powered workflow for assessing Tricuspid Regurgitation severity
- Algorithms for tracking disease progression and treatment response in ATTR-CM patients