Services for optimizing the processes of the radiation diagnostics service
Artificial intelligence
is a new standard of radiology
is a new standard of radiology
Mammograms
(Internal testing on 5 000 studies supported
by a heterogeneous data set)*:
•Accuracy: 89%
•Sensitivity: 91 %
•Specificity: 84 %
by a heterogeneous data set)*:
•Accuracy: 89%
•Sensitivity: 91 %
•Specificity: 84 %
An ultra-precise AI tool that supports the entire workflow of mammographic screening starting with the initial study
•Automated research reporting supporting
BI-RADS screening
•Segmentation and classification of lesions and calcifications
•Evaluation of the study according to the PGMI criteria
•Early breast density classification and intelligent patient routing
•Automated research reporting supporting
BI-RADS screening
•Segmentation and classification of lesions and calcifications
•Evaluation of the study according to the PGMI criteria
•Early breast density classification and intelligent patient routing
Dataset of 100 K+ studies confirmed by biopsy
Services
(External testing for 1 000 studies)*:
•Area under the ROC curve: 97%
•Accuracy: 92%
•Sensitivity: 90%
•Specificity: 94%
•Area under the ROC curve: 97%
•Accuracy: 92%
•Sensitivity: 90%
•Specificity: 94%
Chest CT
Comprehensive service for the diagnosis of signs of lung cancer and pneumonia (including those caused by
Covid-19) on CT and low dosecomputed tomography
•Automated research reporting in accordance with the recommendations of the Fleischer Society and
Lung-RADS
•Lightweight series with pathology masks synchronized with the original study
•Differentiation of lung tissue lesions and pleural effusion by accurate measurements of lung lesion volume
•Classification of node types and probability of malignancy
Covid-19) on CT and low dosecomputed tomography
•Automated research reporting in accordance with the recommendations of the Fleischer Society and
Lung-RADS
•Lightweight series with pathology masks synchronized with the original study
•Differentiation of lung tissue lesions and pleural effusion by accurate measurements of lung lesion volume
•Classification of node types and probability of malignancy
Dataset of 100 K+ studies confirmed by biopsy
Brain MRI
(External testing for 1 000 studies)*:
•Accuracy: 89%
•Sensitivity: 85%
•Specificity: 95%
•Accuracy: 89%
•Sensitivity: 85%
•Specificity: 95%
The first AI service for the analysis of MRI studies that differentiates vascular diseases and nature of demyelination in studies for infallible routing of patients
•Automated research reporting supporting McDonald criteria and Fazecas assessment
•Accurate map of white matter lesion
•Differentiation of vascular diseases and the nature of demyelination
•Automated research reporting supporting McDonald criteria and Fazecas assessment
•Accurate map of white matter lesion
•Differentiation of vascular diseases and the nature of demyelination
Dataset of 100 K+ studies confirmed by biopsy
Chest X-ray
(External testing for 5 000 studies)*:
•Accuracy: 87%
•Sensitivity: 94%
•Specificity: 86%
•Accuracy: 87%
•Sensitivity: 94%
•Specificity: 86%
Identification of all pathologies on chest X-rays, including emergency cases.
Solves the tasks of any clinical scenarios, comprising tuberculosis screening programs and diagnosis of postoperative changes
•Visualization of areas of anomalies, color masks for pneumothorax, hydrothorax and acute diaphragm disorder
•Multi-level customizable sorting and routing of studies
2-second study processing time
Solves the tasks of any clinical scenarios, comprising tuberculosis screening programs and diagnosis of postoperative changes
•Visualization of areas of anomalies, color masks for pneumothorax, hydrothorax and acute diaphragm disorder
•Multi-level customizable sorting and routing of studies
2-second study processing time
Dataset of 1 million+ studies confirmed by the results of CT studies
Third Opinion AI services effects for users and customers
Automatic generation of a pre-filled research description protocol
Digital tool for objective assessment of pathological changes
Monitoring of compliance with research protocols
A tool for monitoring research in dynamics
Reducing routine workload
Digital tool for objective assessment of pathological changes
Monitoring of compliance with research protocols
A tool for monitoring research in dynamics
Reducing routine workload
Quality control of descriptions of the entire research flow, including those in the framework of screening
Support for the functionality of teleradiology consultations
Increasing the capacity of radiation diagnostics departments
Support for the functionality of teleradiology consultations
Increasing the capacity of radiation diagnostics departments
Centralization and management of process of the diagnostic research analysis
A tool for organizing teleradiology
and reference centers
A tool for obtaining dynamic end-to-end analytics of the norm/pathology ratio in the research flow and the status of connected equipment
A tool for organizing teleradiology
and reference centers
A tool for obtaining dynamic end-to-end analytics of the norm/pathology ratio in the research flow and the status of connected equipment
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AI Assistant – second opinion
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10+ usage scenarios, including
Retrospective analysis of research and quality control
AI screening – effective routing of patients
under medical examination
under medical examination
Solutions for radiology departments
Integration with equipment by any manufacturer and any medical software
Economic effects confirmed by customers feedbacks
30 pilots in different conditions
Leadership in the Experiment on the use of innovative technologies in the field of CV for the analysis of medical images and their further implementation in Moscow healthcare system
2 million analyzed studies (in 2020-2022)
Integrations
Developers of Medical Research Software and PACS
Seamless integration into the workflow without the cost of adapting to new software
Different options for the delivery of services without the risk of leakage of patient data
Internal contour of a medical institution / SaaS
Equipment manufacturers
Providing advanced hardware capabilities
Vendor independence
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We offer tools for a quick and reliable assessment of the flow of research and the condition of patients
© 2024 "Third Opinion Platform" Limited Liability Company.
Taxpayer Identification Number 7714420229
Primary State Registration Number 5177746328106
All rights reserved.
Taxpayer Identification Number 7714420229
Primary State Registration Number 5177746328106
All rights reserved.
Skolkovo Innovation Center, 7 Nobelya st., 2nd floor, off 37, working place 2, 121205, Moscow, Russia
The research carried out under grant funding provided by Skolkovo Foundation