Neural networks developed in Moscow have learned to detect another lung pathology — hydrothorax using computed tomography. This accumulation of excess fluid in the pleural cavity of the lungs can be a sign of various diseases, as well as provoke acute respiratory failure, life-threatening. With hydrothorax, there is a high risk of displacement of organs, circulatory disorders and the development of severe cardiac pathology.
Before allowing artificial intelligence to analyze images of radiation studies, experts test its work. The new comprehensive service has successfully passed all tests.
The capital’s radiologists have been using artificial intelligence technologies in their work for two years. During this time, six million medical images were analyzed. It has become easier for doctors to find signs of lung cancer, COVID-19, spinal osteoporosis, thoracic aortic aneurysm, coronary heart disease, stroke, pulmonary hypertension, hydrothorax, as well as lung pathology on radiography and fluorography, breast cancer on mammography.
In addition, neural networks have begun to be tested in the capital, which recognize signs of seven different pathologies at once on one medical image of a radiation examination.
An experiment on the introduction of computer vision technologies into medicine is taking place on the basis of the capital’s Center for Diagnostics and Telemedicine. The project implements the complex of social development of Moscow together with the Department of Information Technology. The Center for Diagnostics and Telemedicine has become a platform for the development of smart solutions based on artificial intelligence in Russia, as well as support for domestic developers.
Artificial intelligence services are integrated into the unified radiological information service of the unified Medical Information and Analytical System (ERIS EMIAS). All radiologists in Moscow can use innovative technologies.
The digitalization of medicine in the capital has been engaged for 10 years. The main project today is the development of a single digital healthcare platform. The service provides individual management of each patient at all stages — from diagnosis and treatment to follow-up. All data is available online to both the patient and the doctor.
