Lung computed tomography
The model is trained on225 000images of verified studies
Integrated with Moscow Unified
Radiological Information Service
The service is used in 3 regions of Russia
Analysis
The system detects and identifies abnormalities specific to COVID-19
and lung cancer
Interpretation
Signs of COVID-19 are determined
in accordance with the classification
of CT 0-4, and the percentage of lung damage is also calculated. Upon detection of malignant
neoplasms, the system calculates
the % probability and the size of the tumor
Speed
Research is processed ~60 seconds
Accuracy
Accuracy of abnormalities detection
>95%
Patient triaging
The system triaging patients according to the severity of the disease when conducting mass examinations
Diagnosis and screening on an outpatient basis
Сelsus is adapted to work in diagnostic scenario 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
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
