Celsus.Fluorography

AI-Solution for chest diseases detection

The model is trained on200 000verified studies

Pilots in 5 Russian regions

Integrated with Moscow Unified
Radiological Information Service

Analysis

The system detects and identifies
signs of abnormal changes on the image

Interpretation

Abnormalities are detected in accordance with 1-23 "Digital codes
for the description of fluoroscopy"

Speed

Research is processed <8 seconds

Accuracy

Accuracy of detecting pathologies
>95%

Analysis

The system detects and identifies
signs of abnormal changes on the image

Interpretation

Abnormalities are detected in accordance with 1-23 "Digital codes
for the description of fluoroscopy"

Speed

Research is processed <8 seconds

Accuracy

Accuracy of detecting pathologies
>95%

Use cases

Screening on mobile fluorography equipments

The system can be installed locally on the hardware or can be used remotely

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

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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