Cardiovascular diseases (CVDs) are the number No. 1 cause of death globally
Direct healthcare and loss of productivity costs are set to reach US $ 1,044 billion by 2030
CVDs are bound to increase in the foreseen future due to ageing populations, increasing obesity, and other risk factors.
Heart ultrasound, or echocardiography, is by far the most used imaging modality for CVD diagnostics.
It is the go-to tool for evaluation of structure and function of the heart.
However, the measurements are highly variable,
time-consuming, and require high level of expertise.
Currently, patients in the EU on average face 5 weeks of waiting time to have a heart ultrasound exam done.
Artificial Intelligence at its best
Equipped with the latest technologies in the Deep Learning field, our product overcomes the issues of echocardiography.
AI-driven application automatically evaluates the heart ultrasound images moments after they are uploaded to a server of a healthcare facility. All steps are performed with the approval of the user.
Automation eliminates variability, reduces the time needed, and allows the user to see measurements that are usually not completed due to lack of time. The result - faster, higher quality, and cheaper echocardiography for all.