Ligence receives grant to help fight COVID-19

Happy news to our company.

Ligence has received the funding grant from MITA – Lithuanian Agency for Science, Technology and Innovation to help fight COVID-19.

The funding grant is a part of ”Inostartas” programme that assists development of a innovative prototype. The grant is devoted for the project to help fight COVID-19 pandemic.

Our team has filled the project application to develop a tool for automated echocardiography analysis that will enable physicians to accurately assess heart function during transthoracic echocardiography examination.

SARS-CoV-2 is a notorious virus responsible for 2020 pandemic. The disease it causes, COVID-19, despite the classic fever and upper respiratory tract symptoms, has also been proved to cause some serious cardiovascular manifestation in elderly patients. The method of choice to differentiate between cardiovascular pathologies and classic COVID-19 symptoms is transthoracic echocardiography. The problem has always been the length of the procedure and the skill required to perform it accurately enough. Therefore, most emergency doctors in Lithuania do not know well enough how to perform the examination properly. Our solution helps physicians to detect abnormal changes in echocardiograms and suggests possible diagnosis. The tool uses Deep Learning algorithms that have been taught to recognise different cardiac planes and perform certain measurements. The latter help detect the most common heart-associated pathologies in COVID-19 positive patients e.g. Takotsubo cardiomyopathy, chronic heart failure etc.

We at Ligence believe that AI holds a massive potential to help drive patient management and assist medical doctors in diagnosis.

Share the Post:

Related Posts

In a bold stride towards innovation, we are excited to announce the latest enhancements to our flagship product, the Ligence Heart web app software. Through meticulous development and optimization, we've
The course covers several topics related to AI in echocardiography, including successful examples, clinical benefits, and the current state of AI in stress echocardiography. The event also features a presentation