Celsus. Lung CT Scan

AI Solution for lung cancer and COVID-19 detection

The model is trained on225 000images of verified studies

Pilot projects launched

Integrated with Moscow Unified
Radiological Information Service

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. Upon detection of malignant
neoplasms, the system calculates
the% probability

Speed

Research is processed ~60 seconds

Accuracy

Accuracy of abnormalities detection
>95%

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. Upon detection of malignant
neoplasms, the system calculates
the% probability

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

Request demo access
Request the trial access
* - Please, fill in all required fields
Name
E-mail
I agree with processing of my personal data and receiving newsletters from Medical Screening Systems LLC. Read more...