Chest CT

Artificial intelligence - based service for analyzing chest CT scans

Integrated with Moscow Unified
Radiological Information Service

The service is used in 3 regions of Russia

Analysis

Celsus detects and highlights signs of pathological changes in the study

Interpretation

Abnormalities are detected in accordance with the list of classes

Speed

Research is processed ~60 seconds

Accuracy

Accuracy of abnormalities detection
>95%

Analysis

Celsus detects and highlights signs of pathological changes in the study

Interpretation

Abnormalities are detected in accordance with the list of classes

Speed

Research is processed ~60 seconds

Accuracy

Accuracy of abnormalities detection
>95%

Use cases

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

How it works

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

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