ARTIFICIAL INTELLIGENCE AND NEXT GENERATION PATHOLOGY: TOWARDS PERSONALIZED MEDICINE
ШТУЧНИЙ ІНТЕЛЕКТ ТА ПАТОЛОГІЯ НАСТУПНОГО ПОКОЛІННЯ: ШЛЯХ ДО ПЕРСОНАЛІЗОВАНОЇ МЕДИЦИНИ

Oleksandr Dudin, Shupyk National University of Healthcare of Ukraine, Ozar Mintser, Oksana Sulaieva, Shupyk National University of Healthcare of Ukraine, Shupyk National University of Healthcare of Ukraine
2021 Proceedings of the Shevchenko Scientific Society. Medical Sciences  
Introduction. Over the past few decades, thanks to advances in algorithm development, the introduction of available computing power, and the management of large data sets, machine learning methods have become active in various fields of life. Among them, deep learning possesses a special place, which is used in many spheres of health care and is an integral part and prerequisite for the development of digital pathology. Objectives. The purpose of the review was to gather the data on existing
more » ... ge analysis technologies and machine learning tools developed for the whole-slide digital images in pathology. Methods: Analysis of the literature on machine learning methods used in pathology, staps of automated image analysis, types of neural networks, their application and capabilities in digital pathology was performed. Results. To date, a wide range of deep learning strategies have been developed, which are actively used in digital pathology, and demonstrated excellent diagnostic accuracy. In addition to diagnostic solutions, the integration of artificial intelligence into the practice of pathomorphological laboratory provides new tools for assessing the prognosis and prediction of sensitivity to different treatments. Conclusions: The synergy of artificial intelligence and digital pathology is a key tool to improve the accuracy of diagnostics, prognostication and personalized medicine facilitation
doi:10.25040/ntsh2021.02.07 fatcat:zhbpzkwbafemriuqj6ujmlikz4