ALGORITHM ARTIFICIAL INTELLIGENCE APPLICATION IN MEDICAL IMAGE ANALYSIS

Abstract

Abstract. The use of artificial intelligence algorithms in various areas of life is the most debatable issue. The main directions of ensuring professional competencies of medical specialties is teaching the latest subjects in the field of information technologies on basis Medical Informatics Department of the Ternopil National Medical University. The introduction of the discipline «Artificial Intelligence in Medicine» is natural and logical, since artificial intelligence is a branch of informatics that deals with the development and implementation of intellectual tools for the analysis and synthesis of research results. The article is demonstrated the formation of professional competencies of future specialists when performing a practical lesson «Building a neural network for automatic segmentation of tumor areas of the brain using magnetic resonance imaging» and acquiring skills in analyzing the source information, using standard methods of preparing and processing a data set for building models, visualization and evaluation of the obtained models. The creation of a multi-class segmentation model based on the MRI method in the open Google Colab environment is shown. 3-D visualization of the segmentation model was performed and the sensitivity and specificity of the resulting model were assessed. As a result, comparing the conclusions of experts and the results of the analysis of brain tumor research based on the construction of a neural network, it was concluded that artificial intelligence tools can be used to analyze the state of the brain. The conclusion was made about the feasibility of teaching students to understand the inner workings of artificial intelligence algorithms. The prospects for further research lie in the constant introduction of objective and reliable new varieties of artificial intelligence into the educational process.