ARTIFICIAL INTELLIGENCE IN ONCOLOGY: A LOOK INTO THE FUTURE
Authors: Sh.Kh. Gantsev, M.V. Frants.
The article contains a brief overview of the history of development and modern achievements of artificial intelligence, as well as the possibilities of its application to cancer prevention, diagnosis and treatment. The progress of machine learning associated with the development of deep neural networks technology is discussed. The achievements in the automatic recognition of medical images including digital micrographs and radiographs are pointed out. The possibilities of applying artificial intelligence to high-risk groups formation for screening programs are discussed. The problems of introducing artificial intelligence into practical oncology are considered, which are related to the need of clinical trials of medical technologies based on artificial intelligence and the need for large volumes of qualitative data for neural networks training.