The CardioVision team, whose members are graduates and students of the UCU Faculty of Applied Sciences, Bohdan Petryshak, Maria Dobko, Olha Bakai, and Sofia Harkot, won Microsoft’s AI Idea Challenge Contest. The students’ mentor was Oles Dobosevych, director of the Bachelor’s Program in Computer Science.
CardioVision presented a solution to one of humanity’s biggest problems, death from cardiovascular diseases. Some 20 million adults in Ukraine suffer from cardiovascular diseases. These cause the death of a third of the world’s population. So their timely diagnosis and treatment are exceptionally important.
Doctors often use computer tomography as an instrument to check for cardiovascular disease and, thanks to technological developments, this method of testing is becoming more and more accessible. Now the problem is the difficulty of providing a quick and high-quality diagnosis, because of a lack of doctors to look at the great amount of scans received.
CardioVision simplifies and speeds up the process of analyzing scans of computer tomography (CT). It determines the level of coronary artery stenosis in MPR images (received from CT), with the help of methods of machine learning and deep neural networks. Receiving an assessment of the possibility of the presence of disease in the patient allows the identification of critical stages which require quick, priority treatment.
“Our team sees great potential in projects located on the crossroads of various fields, and so we are interested in the development of AI in medicine. We believe that this collaboration has a future,” said Bohdan Petryshak.