The Ecosystem

Diagnostic Center

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Medical Digital Diagnostics Center

MDDC is an online AI-powered platform for fast and accurate diagnosis and second opinion when there is a shortage of qualified specialists

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The Medical Digital Diagnostic Center (MDDC) was created to support clinical decision-making based on data from initial admission, instrumental and laboratory diagnostics.

The platform is integrated with information systems and data sources for medicine. It uses artificial intelligence technologies to process and analyze data and confirm preliminary diagnoses. This allows to get a fast second opinion and make a more accurate diagnosis, even if there is a shortage of highly qualified specialists.

AI-powered MDDC provides

Support during a shortage of qualified specialists

Faster diagnosis process

Ruling outmedical error

Automation ofroutine processe

We develop digital technologies based on advanced artificial intelligence models using computer vision, machine learning and data analysis with an accuracy of up to 90%, taking into account the characteristics of medical organizations

> 2 million

research analyzed using AI

> 5 000

doctors use AI in their work



> 90%

the most common diseases detectable by AI

Benefits provided by MDDC

Making wide range ofspecialists easily available

24/7 online access from any mobile device

Reliability: all AI diagnoses are verified by specialist doctors

Fast research analysis using AI algorithms

Expert advice

It is very important for us to provide the most in-demand services for healthcare and our team of experts helps to guide the development of services towards this very goal

Alexander Kuleshov

Academician of the Russian Academy of Sciences, Doctor of Technical Sciences, Professor, Rector of the Skolkovo Institute of Science and Technology.

Kirill Kayem

Senior Vice President for Innovation, Skolkovo Foundation

Andrey Ivaschenko

Doctor of Technical Sciences. Professor of the Russian Academy of Sciences, Head of the Department of Innovative Pharmaceuticals, Medical Technology and Biotechnology, Moscow Institute of Physics and Technology

Natalia Suponeva

MD, neurologist of the highest qualification category, functional diagnostics doctor. Corresponding Member of the Russian Academy of Sciences, Professor

Nikolay Karyakin

Rector of Privolzhsky Research Medical University, Doctor of Medical Sciences

Technology partners

Medical and education partners

User reviews


“The use of the program with artificial intelligence supporting physicians and therapists is very convenient in everyday use. The service is also useful for young professionals for training purposes."

Dilya Khaidarova, General practitioner at Vysokogorskaya Central District Hospital of the Ministry of Health of the Republic of Tatarstan

CT Stroke

“Each diagnosis used to take from 10 minutes to an hour. Thanks to the AI, the examination takes 2 minutes, which reduces lots of stress on the radiologist. "

Anton Polyakov, Head of the department, doctor of the highest category of the Regional Clinical Hospital No. 2, Khabarovsk

CT Lungs

“A preliminary analysis of the results obtained with the service allows us to conclude that the model works correctly at least 95% of cases. In its current form, the system can potentially reduce the doctor's time spent on screening medical images
without any changes to the quality of the results. Often no analysis from a radiologist is necessary. "

Igor Bragin, Chief physician of GB Asbest