Experiment on the use of innovative computer vision technologies for medical image analysis and subsequent application in the healthcare system of Moscow

Problem and implemented solution

The project explores the potential for using AI in healthcare. AI processes the results of CT and MRI scans, X-rays, fluoroscopy and mammography. These results can be used by a radiologist. The project aims to improve the quality and speed of radiological diagnosis, reduce the burden on doctors, minimise errors and help identify risk groups, as neural networks detect even minor signs of pathologies. The project has more than 50 AI services that can recognise the signs of 38 different diseases.

Winner
Russia
Nomination

Artificial Intelligence And Digital Services

Topic

Artificial intelligence

Estimated duration of implementation

The project was launched in November 2019. The start of the practical use stage was spring 2020. The project implementation is in progress.

Implementation geography

Moscow, Russian Federation. In 2022, the project was scaled up to other regions of Russia using the platform of the Center for Diagnostics and Telemedicine. The first region to get connected was the Yamalo-Nenets Autonomous District. Starting from 2024, the scale-up is possible for any region as long as the region's infrastructure is integrated with the MosMed AI platform. Currently, 11 pilot regions have been identified for priority connection, while 6 regions have been already forwarding the flow of studies.

Description of competitive advantages

This application of artificial intelligence technologies tested in public healthcare is one of the first mature cases of such kind (in terms of сonsistency and mass) in the world. This is also the first regional project to be implemented on a real research stream in a clinical setting. An unprecedented total of more than 13 million radiology scans have been processed using neural networks.

List of awards and prizes, media articles about the organization/individual or the Practice

Since its launch, the project on the use of AI services in diagnostic radiology has received a number of top awards from international and national experts. For example, the project became a finalist of the international Go Smart Award, the Russian Internet (Runet) Award, a prize-winner of the international Quality Innovation Award and International Review-Contest of urban practices among CIS and EAEU cities - ‘A City One Wishes to Live in’.

List of scientific works and IP connected with the Practice

N.A.

Contacts

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