Integrated with Moscow Unified Radiological Information Service
200+ radiology departments
Celsus solutions are used in more than 55 regions of Russia
The best mammography service in terms of quality metrics and doctors' opinion according to the mosmed.ai rating
The system detects and highlights
11 classes of findings on the image
The system determines breast tissue density
by ACR and assigns the Bi-RADS
category to the study
A package of 4 projections (RCC, LCC, RMLO, LMLO) is processed
in less than 60 seconds
Bi-RADS interpretation accuracy
over 90%
Diagnosis and screening on an outpatient basis
The solution is adapted for diagnostic and screening scenarios
Retrospective analysis
Multithreaded processing makes it possible to analyze the full volume of studies for a given period
Remote diagnosis
Possibility to analyze studies remotely using telecommunication channels
Screening with mobile mammography units
The system can be deployed locally on the equipment and used remotely
Data transmission
Equipment sends studies to the RIS/PACS. RIS/PACS transmits studies to the Celsus AI Core via the API
Image analysis
Celsus receives images, the algorithm analyzes them and detects signs of abnormal changes
Work results
Upon completion, the images are deleted, and the analysis results are transmitted to the RIS/PACS and are available to the radiologist at their workstation
Integration with PACS/HIS/RIS
After integration, Celsus can be used in the usual doctor's workflow
HL7/FHIR protocol support
International standards for the exchange, management and integration of electronic health information
Results of work in more than 55 regions of the Russian Federation
Time minimization
Up to 50% reduction in the time a specialist spends analyzing studies
Improvement
Up to 20% increase in cancer detection at early stages
Scale
More than 800,000 studies have been analyzed
Minimization of the risk of errors
CELSUS · AI SERVICE
Mammography
Studies successfully processed by year
Total processed
3,587,427
Jul 24, 2024 – Oct 15, 2026
365,853
1,648,015
1,573,559
2024
Jul 24 – Dec 31
≈ 69k per month
2025
full year
≈ 137k per month
2026
Jan 1 – Oct 15
≈ 166k per month
October 15, 2026