APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN HISTOLOGY: PROBLEMS AND PROSPECTS

Abstract

In recent years, the rapid development of medical and biological sciences has led to the emergence of new technological approaches in the field of histology. In particular, the introduction of artificial intelligence and digital microscopy systems into practice is of great importance in studying tissues, identifying diseases, and improving the quality of diagnostics. However, a number of problems arise in the process of applying these technologies. In particular, the insufficient database, difficulties in standardizing images, the fact that algorithms sometimes give incorrect results, and the process of adapting specialists to new technologies are among the pressing issues. This article analyzes the application of artificial intelligence technologies in histology, their advantages, existing problems, and future development prospects. It also widely highlights the importance of innovative technologies for increasing the accuracy of histological examinations in modern medicine. The results of the study show that the rational use of artificial intelligence technologies can significantly improve the quality of histological diagnostics and will serve the further development of this area in the future.