Chest CT
The system detects signs of pathologies in the thoracic organs and automates routine measurements
500+ medical institutions
Have implemented the “Third Opinion” service
SaMD
Class III risk category
11 Regions
Deployed the AI service
Unified Register of Russian Software
Included by Order No. 983 of the Ministry of Digital Development dated 20.09.2021
AI Algorithm detects and describes
The service performs measurements of pathological changes and anatomical structures in accordance with current guidelines and standards
Physician receives a pre-filled report
After AI processing
Report
Pulmonary nodules and masses: not detected.
Decreased lung aeration: not detected.
Pleural effusion: not detected.
Thoracic aorta:
Pulmonary nodules and masses: not detected.
Decreased lung aeration: not detected.
Pleural effusion: not detected.
Thoracic aorta:
- Maximum diameter of ascending thoracic aorta: 40 mm. Dilatation of the ascending thoracic aorta detected.
- Maximum diameter of descending thoracic aorta: 33 mm.
- Maximum diameter of the pulmonary trunk: 34 mm.
- Calcium score (Agatston): 164; CAC DRS A2.
- Volume of paracardial fat: 387 ml. Average density: -96 HU.
- Vertebral body deformation exceeding 25%: not detected.
95% Sensitivity
Proven in independent testing
300,000+ Studies
Processed by the “Third Opinion” AI service
3–5 Minutes
Average processing time per study
Evaluates studies according to standards
For solid pulmonary nodules
Assessment of the severity of spinal deformity (Th4–L4)
Fleischner society guidelines
Assesses the degree of coronary artery calcification and predicts the risk of coronary events
Genant
CAC-DRS и Agatston
Use Case Scenarios
Retrospective analysis
Processes study archives and detects missed pathologies. Provides analytics at the facility or regional level
Analyzes the study, highlights pathological signs, and generates a pre-filled report
Radiologist assistant
AI for Higher-Quality Care
03
Helps detect early signs of diseases
02
Automates routine measurements
01
Reduces reporting time by 30%
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
Transforming healthcare with partners
Let us help you integrate the AI service into your medical facility
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
Improve healthcare quality with AI
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Operations are carried out with grant support from the Skolkovo Foundation
For general inquiries and implementation
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© 2025 Third Opinion Platform LLC, INN 7714420229, OGRN 5177746328106. All rights reserved. 121205, Moscow, Skolkovo Innovation Center, Nobel St., Building 7, Floor 2, Office 37, Workspace 2
