Artificial intelligence in medical imaging

Value for the Healthcare system

Quality improvement

Standardizing and improving the quality of departments of diagnostic radiology

Fault minimisation

Minimization of human's error risk

Post Hoc analysis

Possibility of retrospective analysis of x-ray data

Increase in cancer detection

The higher output of cancer detection at the early stages of the disease

Cost reduction

Cost reduction of diagnostic maneuvers

Reduce the burden

Compensation of qualified personnel deficiency

Quality improvement

Standardizing and improving the quality of departments of diagnostic radiology

Fault minimisation

Minimization of human's error risk

Post Hoc analysis

Possibility of retrospective analysis of x-ray data

Increase in cancer detection

The higher output of cancer detection at the early stages of the disease

Cost reduction

Cost reduction of diagnostic maneuvers

Reduce the burden

Compensation of qualified personnel deficiency

Usage
We implement various ways of integration
CELSUS ai - Использование
CELSUS ai - Использование
CELSUS ai - Использование
Photos provided by mosmed.ai
API
Integration with a picture archiving and communication system (PACS), medical and radiological information systems (MIS, RIS)
WEB
Open app from browser
Desktop
Installation of the app at the doctor's workplaces
Integration with equipment
System implementation in the operation of digital radiographic equipment which displays the result on the screen
Customization
Service development according to the client's tasks
Applying
To operate the system, you do not need to purchase additional equipment and conduct long-term training of employees
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Pilot projects

Pilot projects of our system have been launched in 10+ regions of Russia.

Integration with MURIS*

*MURIS (Moscow Unified Radiological Information Service) includes 150+ departments of radiation diagnostics.
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