Artificial Intelligence Algorithms in Diagnosis of Breast Cancer

Abstract

The field of this research is the development of intelligent systems based on the use of modern methods of artificial intelligence. Such systems are able to provide a diagnosis with high accuracy and also to be an advice-giver for a diagnostician. At the present stage of development of medical diagnostic systems, it is assumed that it can analyze a screening data, and it is often an extremely complex process that requires a long preparation and many years of experience for a physician. Intelligent advisory systems should provide a rationale for the proposed diagnostic decision, and a description of the data analysis results in a form that healthcare professionals can understand. The main method of our research is microwave radiothermometry. This is a biophysical method for non-invasive examination of biological tissues, based on the measurement of internal and surface temperatures by the intensity of their electromagnetic radiation in the microwave and infrared ranges. The study uses specific methods for intelligent analysis of thermometric data and the results of computer modeling of spatial and temporal temperature distributions inside mammary glands. The proposed approach significantly increases the sensitivity and specificity of the method.