Russia establishes national standards for medical AI as Moscow leads the global regulatory framework

RUSSIA—Russia’s National Standard certification mark has long served as a promise to consumers that products have passed rigorous testing and meet established safety requirements.

This assurance principle is now expanding into healthcare, specifically targeting artificial intelligence systems that assist clinicians with diagnostics and treatment decisions.

The development marks a significant shift in how medical technology receives validation before reaching patients.

When AI tools support doctors in reading scans or recommending treatments, standardization becomes essential to ensure these systems perform reliably across different healthcare settings.

From experiment to standard practice

The initiative traces back to Moscow, where authorities launched a large-scale experiment five years ago to integrate computer vision technology into radiology departments.

The program has advanced steadily from its initial experimental phase to systematic integration of AI into daily clinical workflows.

Throughout this evolution, officials have maintained a clear priority: demonstrating that AI tools actually work and benefit patients matters more than simply deploying numerous systems.

Moscow’s approach recognizes that medical AI does not replace doctors but rather functions as a supportive instrument in the hands of qualified radiologists.

For these tools to deliver safe, consistent, and predictable results, they require standardized protocols governing their application.

National standards fulfill this role by acting as a quality certificate for medical AI solutions, establishing best practices for development, testing, implementation, and routine clinical use.

Leading the standardization effort

The Center for Diagnostics and Telemedicine of the Moscow Healthcare Department stands at the forefront of this standardization work.

This leading scientific and practical institution both deploys AI in healthcare facilities and creates nationwide guidelines for its safe application.

The Center also chairs the “Artificial Intelligence in Healthcare” subcommittee under Technical Committee No. 164 “Artificial Intelligence.”

“It is important to regulate software quality control methods even after state registration, as well as to update the registration certificate as new versions of the software are released. Safe AI in medicine is our priority,” stated Dr. Yuri Vasiliev, Chief Officer of Radiology at the Moscow Health Care Department and Medical Director of the Center for Diagnostics and Telemedicine.

Recognition and growing impact

Moscow’s contributions have attracted national recognition.

The Center received the “Standardizer of the Year” award in both 2022 and 2025 for its practical advancements in standards with significant social impact.

The Diagnostics and Telemedicine Center has authored 28 national standards governing AI use in healthcare.

Six of these standards took effect in early 2026.

Together, these documents form a comprehensive and evolving regulatory framework that standardizes AI application in medicine, clarifies implementation guidelines, and establishes industry benchmarks while prioritizing patient safety.

Preparing for next-generation AI

The standardization initiative now looks toward emerging technologies.

Officials plan to develop national standards for next-generation generative artificial intelligence, a field attracting significant global scientific and clinical interest.

Establishing proactive guidelines in this area aims to address both innovation and the critical need for responsible implementation and governance.

Creating such a comprehensive regulatory structure for medical AI remains a complex, ongoing challenge internationally.

Moscow’s sustained effort has produced a substantial body of work that currently lacks direct equivalents in the International Organization for Standardization (ISO) catalogue.

This work consequently contributes to shaping both national and international discussions on the responsible integration of AI in medicine.

The fundamental purpose remains constant: safeguarding patient health.

Through clear standards, AI technologies are becoming validated, reliable tools for clinicians, with regulatory oversight guaranteeing their quality and safety.