Russia

The newly introduced AI algorithm performs measurements that radiologists previously conducted manually, significantly reducing interpretation time and improving consistency in diagnosis.

Since 2020, the Moscow government has been running the Moscow Experiment on Computer Vision in healthcare, an initiative coordinated by the Center for Diagnostics and Telemedicine with support from the city’s digital infrastructure teams.

The initiative supports Moscow’s broader oncology modernization strategy, which combines investments in diagnostic technology, artificial intelligence, and clinician education to improve patient outcomes.

The Moscow-based institution said the improvements are part of a broader effort to modernize radiology workflows and reduce administrative burdens on clinicians.

Three Moscow hospitals tested the system and achieved strong results: the algorithm identified quality problems with 94% accuracy and detected data errors in 99% of cases.

The initiative directly addresses a fundamental challenge: making scientific careers more attractive while simultaneously creating pathways for professional advancement.

Radiologists at the Center now access more than 60 AI services, enabling detection of pathologies across 43 clinical areas.

The publication emphasizes physician training and professional development, with particular attention to digital innovation.

More than 2,000 regional medical organizations have connected to the system, creating a vast network of AI-supported healthcare facilities.