Availability
AI products can be used in remote regions
We develop digital technologies based on advanced artificial intelligence models using computer vision, machine learning and data analysis. Our models have up to 90% accuracy and factor in the individual characteristics of each medical organizations.
AI products can be used in remote regions
The use of AI algorithms in diagnostics allows detecting diseases at the earliest stages
Faster and higher quality medical diagnostics due to the second opinion
Automation of routine processes for analyzing medical data
Simplify the collection of summary reports and analytical information by healthcare professionals
Increase the reliability of data due to the absence of a human factor
Increase life expectancy due to early diagnosis of diseases
Reduce economic losses due to the reduction of temporary disability of the population
Accelerate digitalization of the regional healthcare system
Analysis of the current state and preparation of optimization recommendations
Creation of a data collection and analysis system, infrastructure for the implementation of analytical products, enrichment, structuring and preparation of medical data for further use
Selection and integration of partner solutions on a medical platform
Organization and support of pilot projects within our line of medical solutions
All products presented on the medical platform must be certified in accordance with the legislation of the Russian Federation
Integration of laboratory products and partners with medical information systems
Training, preparation and certification of users
less patient readmissions
more cases of full remission
less false-positive MRI results
better readmission rate
less time spent on updating records and writing reports
more time to concentrate on working with patients
Analysis of electroencephalogram signals using machine learning technologies for the detection of focal epileptiform discharges
Article in English
Project Achoo: Mobile app and model for COVID-19 detection from breath, voice and cough samples.
Article in English
Stroke classification on non-contrast computed tomograms with Deep U-Net.
Article in English
CoRSAI: A system for reliably interpreting CT scans of COVID-19 patients using deep learning.
Article in English
Diagnosis prediction based on electronic medical records of patients using BERT-based neural networks.
Article in English