Brain CT
The AI service for brain CT detects signs of ischemic and hemorrhagic strokes, cystic-gliotic changes, intracranial hemorrhages, and automates routine measurements in non-contrast CT scans
Scientific Collaboration
The service is used at Sverdlovsk Regional Clinical Hospital No. 1
Unified Register of Russian Software
Listed by Order No. 1193 of the Ministry of Digital Development, April 15, 2024
SaMD
Class III risk category
AI Algorithm detects and describes
Physician receives a pre-filled report
After AI-processing
Example Report
Midline shift – 3 mm
No signs of intracranial hemorrhage detected
No signs of ischemic stroke detected
Cystic-gliotic transformation detected (slices 52-95)
LVI 1: 26.0%, LVI 2: 16.0%, LVI 3: 7.0%. Width of the third ventricle: 9 mm.
Cerebellar tonsils positioned above the foramen magnum
Conclusion
The CT findings correspond to cystic-gliotic transformation and a 3 mm displacement of midline structures.
No hemorrhagic or ischemic changes in the brain were detected
Midline shift – 3 mm
No signs of intracranial hemorrhage detected
No signs of ischemic stroke detected
Cystic-gliotic transformation detected (slices 52-95)
LVI 1: 26.0%, LVI 2: 16.0%, LVI 3: 7.0%. Width of the third ventricle: 9 mm.
Cerebellar tonsils positioned above the foramen magnum
Conclusion
The CT findings correspond to cystic-gliotic transformation and a 3 mm displacement of midline structures.
No hemorrhagic or ischemic changes in the brain were detected
ASPECTS stroke scale assessment
Evaluates the severity of ischemic stroke in the middle cerebral artery (MCA) territory for thrombolytic therapy decisions
100% Specificity
In detecting intracranial hemorrhages
Proven in independent testing
Processing Time: 3–5 Minutes
Per study
ROC AUC: 97%
Use Cases
Radiologist assistant
Analyzes the study, highlights pathological signs, and generates a pre-filled report
Within the therapeutic window, it helps rule out hemorrhage and choose a treatment strategy, including thrombolytic therapy or endovascular intervention
Emergency Diagnosis in Stroke Centers
AI for the Higher-Quality Care
03
Reduces missed signs of strokes, cystic-glial changes, and hemorrhages
02
Reduces the number of mistakenly prescribed surgical interventions
01
Accelerates stroke diagnostics (ischemic & hemorrhagic)
DICOM Image
AI processes the study
Integration Workflow
Returns
a secondary DICOM series with AI-visualization
a pre-filled report
a pre-filled report
Workstation
Device
Third Opinion
Возвращается дополнительная серия с ИИ-визуализацией и предварительно заполненный протокол
PACS
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FAQ
Yes. It holds a Class III medical device registration certificate, is listed in the Unified Software Register, and is included in the Roszdravnadzor recommended solutions list
It can be deployed on-premise or in the cloud, with automatic data transfer and result return — in full compliance with Federal Laws 152-FZ and 323-FZ
The server is provided by the client or the system integrator
We configure the transfer of studies from the PACS server to the AI server using standard PACS tools.
We work with all PACS that support DICOM v3.0.
We work with all PACS that support DICOM v3.0.
Compatible with any viewer or radiologist workstation that supports DICOM v3.0 and has access to the facility’s image storage/archive or a centralized subsystem
When deployed on-premise, data never leaves the facility — anonymization isn’t required.
When using a cloud setup, anonymization is performed by the client using specialized medical data anonymization software
When using a cloud setup, anonymization is performed by the client using specialized medical data anonymization software
• Technical meeting with PACS providers and project owners to design the integration architecture
• Clinical meeting with physicians and medical directors to define success metrics and assign roles
• Results are compiled into a formal pilot report based on agreed methodology
• Clinical meeting with physicians and medical directors to define success metrics and assign roles
• Results are compiled into a formal pilot report based on agreed methodology
Depends on system load and hardware, but typically up to 5 minutes after the image is received
• Secondary DICOM series (DICOM SC)
• Pre-filled structured report (DICOM SR), which can be edited, copied, or automatically sent to a medical information system
• Automatic submission of AI opinion to the Unified State Health Information System as a Standardized Electronic Medical Record with a physician’s signature, via integration with RIS and MIS
• Pre-filled structured report (DICOM SR), which can be edited, copied, or automatically sent to a medical information system
• Automatic submission of AI opinion to the Unified State Health Information System as a Standardized Electronic Medical Record with a physician’s signature, via integration with RIS and MIS
Yes. The service works within the facility’s internal network, receiving studies from PACS and returning results to PACS
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Operations are carried out with grant support from the Skolkovo Foundation
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