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Transform diagnostics using CVisionRad
A cloud service based on AI that helps radiologists improve work efficiency and the quality of medical care.
CVisionRad is your reliable partner in radiation diagnostics
CVisionRad helps doctors interpret Computed Tomography more effectively, increasing the detection of signs of the most common diseases and contributing to the formation of more complete and accurate conclusions.
Improving the completeness of diagnostics
/01
We have developed an innovative platform that enables doctors reach new levels in efficiency and accuracy when working with medical data and images.
Automatic localization of findings allows the radiologist to quickly confirm the presence of deviations in the main nosologies and transfer the results of routine measurements to the protocol. In the absence of findings, the doctor focuses on finding rare radiographic signs.
Resource conservation
/02
CVisionRad integrates with PACS and RIS systems via DICOM protocol to ensure seamless data exchange. The results of the artificial intelligence work are provided in a text format, which the doctor can use as a draft of the protocol, as well as in a visual format in the form of an additional DICOM series, which allows you to verify the correctness of automatic findings using the usual DICOM software.
Medical Device Interoperability
/03
CVisionRad works with anonymized research that is transmitted over secure communication channels and processed in certified data centers that meet the highest reliability and security requirements.
Data security
/04
We are constantly improving our technologies and methods to provide effective tools that help doctors make medical decisions based on reliable data.
Regular updates and support
/05
Service capabilities
The CVisionRad product provides powerful tools for analyzing Computed Tomography of the chest and abdominal organs, X-rays research, allowing you to identify signs of various pathologies more quickly.
Computed Tomography of the chest organs
/9
Localization of signs of malignant neoplasms of the lungs on CT and LDCT studies. Determination of the average size and volume for each pathological node, classification of lung nodes according to the Lung-RADS system.
Solitary pulmonary nodules
1
Sensitivity
81%
Specificity
99%
1 min 28 sec
/9
Localization and calculation of the percentage of involvement of lung tissue in the pathological process for each lung, determination of the degree of detected changes in accordance with the classification of CT 0-4.
COVID
2
Sensitivity
94%
Specificity
94%
2 min 11 sec
/9
Determination of the probability of the presence of signs of emphysema, the percentage of emphysema in both lungs and for each lung separately.
Pulmonary emphysema
3
Sensitivity
98%
Specificity
98%
1 min 58 sec
Accuracy
98%
/9
Localization of free fluid (effusion) in the pleural cavities, determination of the volume of pleural effusion in ml and the average density in HU for each lung.
Pleural effusion
4
Sensitivity
81%
Specificity
99%
1 min 28 sec
/9
Localization of areas of violation of the airiness of the lung tissue, determination of the zone on the side (left, right) and part of the lung, calculation of the percentage of involved lung tissue for each lung.
Change in the pulmonary opacification
5
Sensitivity
81%
Specificity
99%
1 min 28 sec
/9
Localization of the areas of expansion of the ascending and descending sections of the thoracic aorta, measurement of diameters.
Dilation of the aorta
6
Sensitivity
94%
Specificity
90%
53 sec
Accuracy
92%
/9
Localization of coronary artery calcification, determination of the CAC-DRS class on the Agatston scale depending on the severity of coronary calcium, calculation of the mass and density of calcinates.
Coronary heart disease
7
Sensitivity
76%
Specificity
90%
22 sec
Accuracy
82%
/9
Localization of signs of pulmonary trunk expansion, diameter measurement.
Dilatation pulmonary trunk
8
Sensitivity
76%
Specificity
98%
29 sec
Accuracy
87%
/9
Localization of vertebrae with signs of compression deformation, determination of the degree of deformation according to the Genant classification.
Spinal compression fracture
9
Sensitivity
89%
Specificity
84%
51 sec
Computed Tomography of abdominal organs
/2
Localization of the abdominal aorta, measurement of the maximum diameter, detection of signs of expansion.
Aortic dilatation
1
Sensitivity
94%
Specificity
90%
53 sec
Accuracy
92%
/2
Localization of vertebrae with signs of compression deformation, determination of the degree of deformation according to the Genant classification.
Spinal compression fracture
2
Sensitivity
89%
Specificity
84%
51 sec
X-ray of the musculoskeletal system
/2
Determination of the presence of X-ray signs of arthrosis of the knee joint, classification of the degree of arthrosis according to N.S. Kosinskaya.
Osteoarthritis of the knee joint
1
Sensitivity
80%
Specificity
96%
15 sec
Accuracy
88%
/2
Determination of the presence of signs of scoliosis, localization of findings, calculation of the angles of deformation of the spine axis.
Scoliosis
2
Sensitivity
89%
Specificity
84%
51 sec
Computed Tomography of the chest organs
Localization of signs of malignant neoplasms of the lungs on CT and NDKT studies. Determination of the average size and volume for each pathological node, classification of lung nodes according to the Lung-RADS system.
Sensitivity — 81%
Specificity — 99%
Average processing time — 1 min 28 sec
Sensitivity — 81%
Specificity — 99%
Average processing time — 1 min 28 sec
Localization and calculation of the percentage of involvement of lung tissue in the pathological process for each lung, determination of the degree of detected changes in accordance with the classification of CT 0-4.
Sensitivity — 94%
Specificity — 94%
Average processing time — 2 min 11 sec
Sensitivity — 94%
Specificity — 94%
Average processing time — 2 min 11 sec
Determination of the probability of the presence of signs of emphysema, the percentage of emphysema in both lungs and for each lung separately.
Sensitivity — 98%
Specificity — 98%
Accuracy — 98%
Average processing time — 1 min 58 sec
Sensitivity — 98%
Specificity — 98%
Accuracy — 98%
Average processing time — 1 min 58 sec
Localization of free fluid (effusion) in the pleural cavities, determination of the volume of pleural effusion in ml and the average density in HU for each lung.
Sensitivity — 81%
Specificity — 99%
Average processing time — 1 min 28 sec
Sensitivity — 81%
Specificity — 99%
Average processing time — 1 min 28 sec
Localization of areas of violation of the airiness of the lung tissue, determination of the zone on the side (left, right) and part of the lung, calculation of the percentage of involved lung tissue for each lung.
Sensitivity — 81%
Specificity — 99%
Average processing time — 1 min 28 sec
Sensitivity — 81%
Specificity — 99%
Average processing time — 1 min 28 sec
Localization of the areas of expansion of the ascending and descending sections of the thoracic aorta, measurement of diameters.
Sensitivity — 94%
Specificity — 90%
Accuracy — 92%
Average processing time — 53 sec
Sensitivity — 94%
Specificity — 90%
Accuracy — 92%
Average processing time — 53 sec
Localization of coronary artery calcification, determination of the CAC-DRS class on the Agatston scale depending on the severity of coronary calcium, calculation of the mass and density of calcinates.
Sensitivity — 81%
Specificity — 99%
Accuracy — 82%
Average processing time — 1 min 28 sec
Sensitivity — 81%
Specificity — 99%
Accuracy — 82%
Average processing time — 1 min 28 sec
Localization of signs of pulmonary trunk expansion, diameter measurement.
Sensitivity — 76%
Specificity — 98%
Accuracy — 87%
Average processing time — 29 sec
Sensitivity — 76%
Specificity — 98%
Accuracy — 87%
Average processing time — 29 sec
Localization of vertebrae with signs of compression deformation, determination of the degree of deformation according to the Genant classification.
Sensitivity — 89%
Specificity — 84%
Average processing time — 51 sec
Sensitivity — 89%
Specificity — 84%
Average processing time — 51 sec
Computed Tomography of abdominal organs
Localization of the abdominal aorta, measurement of the maximum diameter, detection of signs of expansion.
Sensitivity — 94%
Specificity — 90%
Accuracy — 92%
Average processing time — 53 sec
Sensitivity — 94%
Specificity — 90%
Accuracy — 92%
Average processing time — 53 sec
Localization of vertebrae with signs of compression deformation, determination of the degree of deformation according to the Genant classification.
Sensitivity — 89%
Specificity — 84%
Average processing time — 51 sec
Sensitivity — 89%
Specificity — 84%
Average processing time — 51 sec
X-ray of the musculoskeletal system
Determination of the presence of X-ray signs of arthrosis of the knee joint, classification of the degree of arthrosis according to N.S. Kosinskaya.
Sensitivity — 80%
Specificity — 96%
Accuracy — 88%
Average processing time — 15 sec
Sensitivity — 80%
Specificity — 96%
Accuracy — 88%
Average processing time — 15 sec
Determination of the presence of signs of scoliosis, localization of findings, calculation of the angles of deformation of the spine axis.
Sensitivity — 89%
Specificity — 84%
Accuracy — 51 sec
Sensitivity — 89%
Specificity — 84%
Accuracy — 51 sec
Automatic sending of studies for analysis to the cloud service, and delivery of the results to the doctor's workplace.
Operational recognition and segmentation of structures on images in the cloud infrastructure.
The results of the service are stored in DICOM and used by the doctor in his usual software.
Simplicity of use
Automatic localization of finds
Working in the usual software
Seamless service integration into your workplace
Are you ready to appreciate capabilities of CVisionRad?
Fill out the form and we will introduce you to the functionality of our service in the demo version.
Learn more about us
Our service takes leading positions in the
Participant of the Moscow Experiment
Presentation
Who benefits from our service?
Specialists can interpret medical images more efficiently and accurately, reducing diagnostic time, increasing the detection of signs of the most common diseases.
Doctors of radiation diagnostics
The CVisionRad service prioritizes research in the queue, helps to direct the time and attention of doctors to the most urgent research. Increases the informativeness of the protocols of radiological conclusions. It helps to increase the throughput of radiation diagnostics rooms by saving the doctor's time for routine measurements.
Medical institutions
More accurate diagnosis and prompt delivery of results help to improve the patient experience by reducing waiting times and increasing the level of service.
Patients
Our Partners
FAQ
CVisionRad supports various modalities of radiation diagnostics, such as X-ray and Computed Tomography, and is easily integrated with other medical systems and standards, such as DICOM, PACS, etc.
CVisionRad service is easily integrated with other medical systems and standards, such as DICOM, PACS and others, which allows you to open diagnostic results in your usual program.
The CVisionRad service is developed on the Yandex.Cloud cloud service, is capable of processing large volumes of medical data and provides maximum stability.
Our service provides a high level of data security, including encryption, authentication and access control, to guarantee the confidentiality and protection of medical information.
Our service allows you to optimize the work of specialists, the doctor's opinion remains the decisive factor.
We appreciate your feedback
If you have any questions and suggestions about the service, please fill out the form and we will get back to you as soon as possible.
Get acquainted with the functionality of the CVisionRad service
Fill out the form and we will contact you to provide access to the demo version of the service.
Improve your workflow
using the CVisionRad service
using the CVisionRad service
Fill out the form and we will contact you to provide service and discuss our cooperation.