Artificial intelligence
is a new standard of radiation diagnostics
is a new standard of radiation diagnostics
Services for optimizing the processes of the radiation diagnostics service
Services
Ches 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
Chest CT
(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%
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
Long-ROADS
•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
Long-ROADS
•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
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 %
Supporting whole mammography screening workflow
•Detection and classification (benign/malignant) of all findings related to breast cancer
•Study evaluation with BI-RADS score
•Evaluation of clinical image quality with PGMI score
•Assessment of breast density with ACR scale
•Detection and classification (benign/malignant) of all findings related to breast cancer
•Study evaluation with BI-RADS score
•Evaluation of clinical image quality with PGMI score
•Assessment of breast density with ACR scale
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
Dataset of 1 million+ studies confirmed by the results of CT studies
AI Opinion services effects for
users and customers
users and customers
Reducing routine workload
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
Digital tool for objective assessment of pathological changes
Monitoring of compliance with research protocols
A tool for monitoring research in dynamics
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
AI Assistant – second opinion
Retrospective analysis of research and quality control
AI screening – effective routing of patients
under medical examination
under medical examination
10+ usage scenarios, including
1
/10
2
/10
3
/10
Solutions for
radiology departments
radiology departments
Integrations
Developers of Medical Research
Software and PACS
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
medical institution / SaaS
Equipment manufacturers
Providing advanced hardware capabilities
2 million analyzed studies (in 2020-2022)
30 pilots in different conditions
Economic effects confirmed by customers feedbacks
Vendor independence
Integration with equipment by any manufacturer and
any medical software
any medical software
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We offer tools for a quick and reliable assessment of the flow of research and the condition of patients