A consortium of sixteen scientific institutions, which also includes our center, has been successful with the DataTools4Heart grant. This means more than seven million crowns for FNUSA-ICRC and also further opportunities to participate in other projects with these partners, including the European Society of Cardiology.

The aim of the project is to develop a computer tool to help patients with heart failure and coronary heart disease. The aim is to create computer software that will use machine learning and artificial intelligence methods to help decide the best course of action for treating a particular patient with a particular problem. “The whole project is divided into several work areas, and ICRC researchers will mainly participate in two sequential goals, namely to provide sufficient data for “machine learning” and the subsequent validation of the forthcoming product,” said Assoc. Roman Panovský, M.D., Ph.D., head of the Noninvasive Cardiac Imaging – CMR research team.

In practice, this will mean that the algorithms for determining the ideal timing and sequence of individual steps in diagnosing patients’ diseases will be learned from samples of clinical-research data from patients at St. Anne’s University Hospital in Brno. Machine learning methods will then be used to find optimizations in the patient diagnostic process. “The advantage of the project is clearly the fact that no data will leave our workplace. The result will be algorithms and procedures that can be used for the final tool so that the treatment procedure of a new patient is as fast as possible based on these facts,” added Associate Professor Panovský.

The entire project will run for four years and will be worked on by four FNUSA-ICRC research teams as well as colleagues from the First Internal Cardioangiology Clinic of FNUSA.

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