Authors:
Polina Zakharova, Tamara Tkebuchava, Parvana Ibrokhimova, Nuray Ibragimova
For citation
Zakharova P., Tkebuchava T., Ibrokhimova P., Ibragimova N. The Use of Artificial Intelligence in the Diagnosis of Breast Cancer. Journal of Clinical Physiology and Pathology (JISCPP) 2023; 2(2): 8-11.
Abstract:
The paper presents a brief overview of the tasks and methods of artificial intelligence, as well as a review of works devoted to its use in the field of diagnostics of oncological diseases, in particular, breast cancer. To reduce mortality and complications, it is necessary to conduct timely screening and improve methods of diagnosing the disease. It is especially important to diagnose and start treatment in the early stages. The goal is to study and summarize data on the use of various methods of artificial intelligence in the timely diagnosis of breast cancer. The analysis of scientific publications on this topic was carried out. The methods of Watson supercomputer, Microsoft Healthcare NExT, radiomics processes, automatic detection systems, Smart Detect for Breast are considered. The prospect of using artificial intelligence, as a screening method, it can allow for better detection of formations at an early stage, as well as lead to automation of this process, which entails a decrease in mortality from breast cancer. Comparing the performance of the artificial intelligence system in breast cancer screening with that of 101 individual radiologists, the researchers found that the former performed better than 61% of the radiologists. Currently, variations of artificial intelligence are presented. It is necessary to specify the methods and create a single program for use in the practice of a doctor.
Keywords:
artificial intelligence, breast, screening, cancer, mammography, radiomics, diagnostics, automatic detection system, ultrasound, stages.