Reduction of medical errors and time spent on the analysis of Healthcare Information System + personal recommendations for the prevention of diseases of the patient — A system for supporting medical decision
—Automatic determination of the likelihood of developing diseases — Compliance with clinical recommendations — Reduction of time for interpretation of medical data
For Health care providers
Reduction of morbidity and mortality through identification and epidemiological monitoring of high-risk patients - Automatic risk stratification of the population by risk groups
— Forecasting the development of diseases — Population monitoring of the prevalence of risk factors — Control of the correctness of the management of EHR by doctors
For developers
Additional competitive advantages due to powerful artificial intelligence in the evaluation of patients' medical data — A ready—made service for the evaluation of electronic medical data
- Increasing the attractiveness of Healthcare Information System (HIS) from doctors and managers point of view — Eliminating the need to register in HIS as a medical device
The key functionality of the platform
Is to reveal pathological changes indicating an inflammatory, oncological or tuberculosis processes in the lungs;
Prioritize studies with suspicions found;
Analyze the studies processed by the System in a built-in viewing application with a standard set of options to improve visualization and perform measurements of structures in the image.
Upload your data to our secure system for analysis
02
The Second Step
Get the result. Our trained algorithm will give you a second opinion based on the collaboration of experienced doctors and scientists.
03
The Third Step
Pay attention!
The medical algorithm is intended for scientific research, is aimed at generalizing statistical data, and is not a means of establishing a diagnosis in relation to any individuals.
The service integrates with solutions
Implementation architecture
Diagnostic devices (X-ray, mammography, MRI)
AI Services (processing and recognition)
Workplace of a doctor (radiologist, mammologist) (DICOM Viewer)
Making a final diagnosis by a doctor
Appointment of treatment by a doctor / recommendation to a patient
Detection of COVID19 patterns on CT examination: Frosted glass, consolidation area, pleural effusion, determination of the percentage of lung infection
Precision (pixel wise)
0.86
Recall (pixel wise)
0.73
Nosology: Lung diseases - Fluorography
Classification of incoming fluorographic studies in 13 selected classes
AUC-ROC
0.94
Nosology: Breast cancer - Formalized protocols
Analysis of a set of signs in a normalized breast cancer protocol, classification according to BIRADS 0 - BIRADS 6
Determination of the probability of Malignant Tumor, determination of volume in ml
AUС-ROC
0.84
Sensitivity/ Specificity
0,8
Key partners of the project
We actively cooperate with the professional community
The scientific community
We are constantly interacting with leading institutions on the topic of artificial intelligence, namely: Innopolis, Skoltech, Moscow Institute of Physics and Technology, Moscow State University
Blokhin Russian Cancer Research Center
Aggregation of the training sample, its markup and preparation, testing of the first versions of the algorithms being developed
Skolkovo
Close cooperation with the Skolkovo Development Institute and the Skolkovo Institute of Science and Technology, residency
The Co-Brain medical platform
Is a single implementation of tools for marking up medical data, laying out models on the Co-Brain medical solutions marketplace
Holding "Center of Laser Medicine"
Network of laser medicine clinics in Rep. Mari El and Rep. Chuvashia. Development and launch of algorithms for processing medical research
Clinic of medical examinations
Is a multidisciplinary medical center in Vladimir. Development and launch of algorithms for processing medical research
The Team
Vasiliev Robert
CEO, design and market launch of IT products, experience of 7 years
Amelin Vladislav
CTO, Senior Data Science Specialist, experience of 6 years
Vasiliev Roman
CCO, International Law Expert, experience of 10 years
Gaganchikov Pavel
Backend Developer, experience over 10 years
Vinogradov Ilya
Fullstack developer, experience over 10 years
Remnev Pavel
Head of dialog systems development, experience over 12 years
Marinova Olga
Project manager, experience over 4 years
Mazitov Daniar
Middle ML/DL developer, experience over 4 years
Romanov Nikita
Senior ML/DL developer, experience over 7 years
PARTNERS AND CONSULTANTS PROJECT
Dolgushin Boris
Member of the Russian Academy of Sciences, Holder of Post-Doctoral Degree in Medicine, experience over 50 years
Bludov Alexander
Holder of Doctorate Degree in Medicine, Oncologist, experience over 20 years
Contacts
Z-union AI & IT Solutions Center +7 (495) 488-70-67 lab@z-union.ru
124482 year. Moscow, Zelenograd, Yunosti str., 8, office 902 The building of the Zelenograd Development Corporation
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