The Ecosystem

Diagnostic Center

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For healthcare providers

Integration of AI algorithms into medicine and healthcare

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.

Benefits of using medical AI

Availability

AI products can be used in remote regions

Early diagnosis

The use of AI algorithms in diagnostics allows detecting diseases at the earliest stages

Second opinion

Faster and higher quality medical diagnostics due to the second opinion

Workload reduction

Automation of routine processes for analyzing medical data

Save time

Simplify the collection of summary reports and analytical information by healthcare professionals

Reduce potential medical errors

Increase the reliability of data due to the absence of a human factor

Optimize costs at the stage of early diagnosis

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

Our comprehensive solution is available immediately

Audit of regional infrastructure and/or medical institutions

Analysis of the current state and preparation of optimization recommendations

Development of a comprehensive digitalization strategy

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

Search and integration of partner solutions

Selection and integration of partner solutions on a medical platform

Launch of pilot projects

Organization and support of pilot projects within our line of medical solutions

Regulation and certification of projects

All products presented on the medical platform must be certified in accordance with the legislation of the Russian Federation

Technical integration and configuration solutions

Integration of laboratory products and partners with medical information systems

Technical support and user training

Training, preparation and certification of users

Our solutions are deployed all around Russia

Tomsk Region

CT Lungs
Mammography
TOP-3
CT Stroke

AI solutions have provided:

10%-20%

less patient readmissions

8%

more cases of full remission

30%

less false-positive MRI results

13%

better readmission rate

Clients using AI solutions have confirmed:

61%

less time spent on updating records and writing reports

45%

more time to concentrate on working with patients

Publications

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