Moscow's public health department centrally benchmarks and deploys a marketplace of 50+ vetted computer-vision diagnostic tools as a mandatory "second reader" for radiologists across 150 city facilities; a 3,409-scan prospective study found AI-assisted radiologists beat AI runnin
CT studies included in the diagnostic-accuracy study (Apr 2022–Dec 2024)
1101 cases
Confirmed intracranial haemorrhage cases in the study (Apr 2022–Dec 2024)
67 organisations
Participating health organisations in the study (Apr 2022–Dec 2024)
150 facilities
Medical facilities using the MosMedAI marketplace
50+ services
Vetted AI services available in the marketplace
39 services
Computer-vision services benchmarked in the Moscow Experiment (from 2019)
21 vendors
Vendors evaluated in the Moscow Experiment (from 2019)
1.3 million imaging studies
Archive imaging studies used for benchmarking
more than eight-fold
Interpretation-time reduction, AI-assisted mammography (since early 2023)
Details
Maturity
Established
Promoter
Moscow Department of Health (Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies), with the Moscow Department of Information Technologies
Period
2019 pilot ("Moscow Experiment") – 2024 platform launch – study through Dec 2024
Keywords
public health, radiology, diagnostic imaging
Context
Moscow's public health system began evaluating AI diagnostic-imaging tools in 2019 through the 'Moscow Experiment,' a prospective programme run by the city's Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies, which benchmarked computer-vision services against real clinical cases from a large imaging archive.
Objectives
The city aims to centrally vet AI diagnostic tools before deployment and make them available as a mandatory 'second reader' for radiologists — assisting rather than replacing clinical judgement — across its public health network.
Activities
The evaluation fed into MosMedAI, a city-run marketplace that went live in early 2024, giving radiologists in Moscow's public polyclinics and hospitals access to 50+ vetted AI services for CT, mammography and other imaging. The deployment now covers 150 medical facilities, including children's hospitals, and since early 2023 AI-assisted mammography reading has been funded through Russia's compulsory health insurance system.
Results
The strongest evidence is a prospective multicentre diagnostic-accuracy study run across 67 Moscow health organisations between April 2022 and December 2024, covering 3,409 brain CT studies including 1,101 confirmed intracranial haemorrhage cases. Radiologists working with AI assistance reached 98.91% sensitivity, against 95.91% for the AI model working alone, with the assisted workflow's specificity at 99.83%. The health department also reports that AI-assisted mammography reading has cut interpretation time more than eight-fold.
Conclusions
Independent coverage of the study frames its central finding candidly: AI alone is not yet a substitute for a human radiologist, and the value comes from combining the two — a conclusion this record reports as published, without inflating it into a stronger claim than the study itself makes.
Implementation
Indicative cost
High (€500k–€5M)
Time to results
Long (> 3 years)
Staffing & skills
Moscow Department of Health, Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies, Moscow Department of Information Technologies, Vetted third-party AI vendors (50+ services)
Conditions for success
Centralised benchmarking of AI tools against a large real-case archive before deployment
A mandatory 'second reader' policy rather than autonomous AI decision-making
Sustainable funding through compulsory health insurance since 2023
Willingness to publish a study whose finding (AI alone underperforms combined use) does not oversell the technology
Commonly funded by
National / regional programmes
Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.
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Data sources
Where this practice's information was retrieved from, and when.