Cardiac ultrasound is a safe and inexpensive test for monitoring and preventing heart disease. Manual work (e.g. measuring, writing report) takes 50-85% of test time. We make cardiac ultrasound more accessible, cheaper, and less human-reliant by automating the analysis.
We are a team of medical doctors who also happen to know AI and thus we build exciting solutions for healthcare. Our latest project is the automation of heart ultrasound image analysis using Deep Learning algorithms. The product we call CardioEchoAI is able to automatically recognize heart image view and perform all the necessary measurements. We developed software for the automated heart ultrasound imaging workflow that allows reducing the average examination time by ~85%, i.e. from 30 to 5 min, and increase the overall accuracy. This increases patient admission 6 times and increases revenue by more than 2M (by one cardiologist).
B2B
1 to 25
Funded
$458,780
Scaling Up
2019
Computer Software
Biotechnology
Healthcare
N/A
Healthcare Support
Service
Production
Analytics
Yes
Active
Machine Learning
Software
N/A
Potential Customers
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