Image processing using artificial intelligence methods in cardiovascular decision support systems

The development of medical decision support systems is an important social and economically significant task, and one of the most important and acute directions in this field of research is cardiology supporting decision-making systems. The report considers the main requirements for the recognition system based on artificial intelligence methods and used to assess the functional state of the cardiovascular system (CVS). The description of the general scheme of the developed decision support system based on the identification and classification of CVS states is given. As various types of neural networks and other classifiers based on machine learning are often used in problems of the cardiovascular states identification, here, the main attention is paid to the use of convolutional and other deep neural networks for the recognition of images in cardiology for diagnostic purposes.