Neural networks are used to process images of radiation studies

[tanjimajuha20]

According to Yuri Vasiliev, next year it is planned to implement such complex neural networks in other anatomical areas, for example, to detect several pathologies at once on abdominal CT,

obtained during fluorography, mammography, wuhan phone number list radiography, computed tomography and magnetic resonance imaging. Today, the project has more than 40 services based on artificial intelligence in 17 different areas of research that help radiologists recognize various diseases.

The algorithms are working within the framework of an experiment to introduce computer vision technologies into healthcare - a project of the Moscow social development complex based on the diagnostics and telemedicine center with the support of the information technology department.

The federal project "Smart Healthcare" is being implemented within the framework of the national project "Healthcare" and is aimed at improving medical care and increasing the efficiency of patient care.

Moscow has been digitalizing its healthcare system for over 10 years. Now the basis of this process is a single digital healthcare platform. It provides personalized care for each patient at all stages — from diagnosis and treatment to follow-up. Thanks to the platform, all data on the health of city residents is accumulated in a single digital circuit and is available online to both doctors and patients themselves.

Automation based on artificial intelligence technologies increases the productivity and quality of work of specialists in radiation diagnostics. Thanks to artificial intelligence, the availability of medical care for patients increases significantly. In turn, the implementation of the project to introduce computer vision in medicine allows the creation and development of a market for artificial intelligence services in radiation diagnostics.