Integrated with Moscow Unified
Radiological Information Service
Pilots in 13 Russian regions
The best service in the field of mammography in terms of quality metrics and doctors opinion according to mosmed.ai
Analysis
System detects and highlights
11 classes of findings on the image
Interpretation
System identifies breast tissue density
by ACR and assigned the Bi-RADS
category to the study
Speed
4 projections pack (RCC, LCC, RMLO, LMLO) is processed <60 seconds
Accuracy
Bi-RADS classification accuracy >90%
Diagnosis and screening on an outpatient basis
Сelsus is adapted to work in diagnostic and screening scenarios based analysis
Possibility of post hoc analysis
The system supports multithreading and allows you to analyze the pack of studies in a given period
Remote diagnosis
Possibility to analyze studies remotely using telecommunication channels
Screening on mobile mammography equipments
The system can be installed locally on the hardware or can be 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 results of the analysis are transmitted to the RIS/PACS and are available to the radiologist at his workplace
Integration with PACS/HIS/RIS
After integration, Celsus can be used in the usual doctor's workflow
Protocol support HL7/FHIR
International standards for health care data exchange
The results of pilot projects were summed up in the Tambov and Bryansk regions and in the Republic of Dagestan
Time minimization
The time spent by a specialist for analyzing research has been reduced by one third
Development
Up to 10% increase of cancer detection at early stages
Scale
> 22,000 studies have been reviewed
Minimization of the risk of errors
