Moscow

Credentia

The platform helps to create legally significant digital documents with lifelong storage by using public and consortium distributed ledgers. Credentia is a cloud-based service for issuers that allows to create and send documents to recipients. The service also includes recipient's personal mobile digital portfolio that can store and display documents from the user’s mobile phone or computer.

HygieneGap application and the implementation of the DHID (disposable health identificators) standard help EU citizens to confirm their current health status in a safe and verifiable manner and to disclose information about contacts and movements during quarantine. The company has engaged in negotiations with the Department of Information Technology of Moscow on the company’s launch in Russia.

Platform for issuing, storing and verifying digital documents

cloud_computing

medicine

blockchain

Aivarix

AI-based varicose veins recognition service

neural_networks

artificial_intelligence

machine_learning

PGX2

Software that enables to analyse and interpret DNA test results (on the basis of 154 polymorphisims) and generates a report that includes 52 drug groups with 655 drugs (more than 5000 generics) of 8 nosologies (psychiatry, neurology, cardiology, alergology, gastroenterology, endocrinology, dermatology and infectious diseases).&nbsp;

Cloud service for data analysis and interpretation of pharmacogenetic tests

Third_Opinion

AI-screening - services for pathologies identification on medical images (chest x-rays, mammograms, morphology,&nbsp;orthopantomograms, retina pathology). The intelligent system, built as a neural network, is able to determine the type of pathology from the relevant medical image online with an accuracy of 75–95%. To train a neural network, you must first collect, digitize and mark up medical analyzes in the form of images.

AI-monitoring -&nbsp;AI-based clinical observation system for increased patient safety. Using computer vision technology, while securely protecting patient information with HIPAA compliance, the system monitors patient safety and the quality of care provided by medical staff.&nbsp;

covidtech

computer_vision

Third Opinion

NeuroDrive

The platform for neurophysiological analysis of the state of health of a racing driver enables sportsmen to improve their results through personal recommendations generated by machine intelligence.

NeuroDrive records brain activity, heart rate, breathing and muscle tension using sensors. Received data with the help of machine learning technologies and Big data is processed by the server using mathematical algorithms.

The system accumulates data and identifies the weaknesses of the pilots, providing individual recommendations to the racing drivers and their doctors. In May 2019, the developers tested the system for the first time in conditions of real racing on the track.

AI platform for neurophysiological analysis of the state of health of racing drivers

big_data

Diagnocat

The service uses neural networks and analyzes tomographic studies, finds teeth with pathologies and creates a diagnostic report for doctors. &nbsp;Diagnocat identifies the main anatomical areas in 3 minutes and diagnoses them according to 122 characteristics (norm, filling, crown, implant, periodontitis).

The service includes the following solutions: Cloud&nbsp; - a platform for storing and managing DICOM patient files,&nbsp; Viewer&nbsp; - for quick familiarization with the general state of the oral cavity,&nbsp; Implant Study&nbsp; - for the planning of dental implantation,&nbsp; Endo Study&nbsp; - for planning endodontic treatment,&nbsp; Radiology Report&nbsp; - for dental diagnosis and documentation.

Over 20 thousand dental computed tomograms were used to train artificial intelligence.

Service for diagnosing dental problems based on neural networks

Skychain_Global

Skychain is an open blockchain infrastructure for deployment, training and application of artificial intelligence in the field of medicine. The alpha version of the project has three neural networks capable of detecting lung diseases, skin cancer and abnormalities in the development in the bones of upper extremities through X-ray and MRI.

The accuracy of diagnoses made by artificial intelligence is more than 80%, and the average time for making a diagnosis is 6 seconds. In the near future, the developers are going to publish three more neural networks that specialize in liver cancer, breast cancer and brain disorders. All neural networks represented in the alpha version are available for open testing.

Platform for artificial intelligence application in medicine

Skychain

SemanticHub

By using natural language processing technologies (NLP, Natural Language Processing), the service analyzes publicly available publications on social networks about diseases, symptoms of diseases, and the effectiveness of treatment./p>

User data is depersonalized. &nbsp; The service works with texts in Russian, English, Chinese and other languages.

The service can be useful in diagnosing rare (orphan) diseases.

Previously, the service was positioned as a tool for deep semantic analysis of documents &nbsp;(scientific &nbsp; articles, descriptions &nbsp; clinical trials, patents, press releases &nbsp; etc.) conducted in the interests of &nbsp; pharmaceutical companies in order to assess the prospects of the drugs being developed.

B2B service for retrieving publicly available patient publications on social media

software

Newdiamed

The system is designed for remote interviewing of healthy and sick people, analysis of survey results and biometric data, data transmission via the Internet to the doctor's workplace, ensuring the safety of personal data. MeDiCase supports decision-making by a physician and interviewer using AI system.

Artificial intelligence will help control chronic diseases, determine individual limit values for health indicators, assess adherence to the therapy and the adequacy of drug doses. The patient interview is based on the principle of a decision tree, the system selects the right questions depending on the patient's answers.

AI-based system for remote diagnostics and monitoring of diseases

telemedicine

MeDiCase

Speech_Technology_Center

Voice2Med features: 

<ul>
	<li>automatic voice-to-text recognition in real time;;</li>
	<li>filling out protocol templates and any text documents;</li>
	<li>additional training &nbsp; and adding &nbsp; words to the dictionary;</li>
	<li>placement of punctuation &nbsp; and autocorrection;</li>
	<li>editing &nbsp; text before saving;</li>
	<li>environmental noise suppression.</li>
</ul>

A special feature of the product is using specialized lexical Russian-language dictionaries: for a general practitioner, ENT doctor, diagnostician MRI, CT, ultrasound, etc. & nbsp;

Before speaking, the user needs to position the &nbsp; cursor in the text field and launch the &nbsp; application. After that, the recognized text will appear on the screen.

&nbsp;

Program for filling out medical records using voice

voice_recognition

Voice2Med

Gero

The platform is based on the analysis of people's physical activity. The neural network identifies health risks according to data from a fitness bracelet about the physical activity of a person. The neural network links repetitive sequences of movements with medical records and test results.

The algorithm will be useful to medical and insurance organizations. It will enable them to identify people in the risk group remotely. Based on the same information, the biological age of the trial subject has already been successfully determined.

AI-based platform for health status assessment

Решения для медучреждений

Телемедицина

Здоровье

Профессиональные услуги

Услуги

DocDoc

Sberbank

The platform is built on the basis of artificial intelligence, it is a symptom collection system and a virtual assistant for the doctor in making clinical decisions. &nbsp;User interaction with the platform includes several stages.

The system asks questions: how to address a client, the most convenient communication format, gender and age, then the user individually selects several suggested symptoms. After that, the system asks clarifying questions, based on information previously received from the patient. &nbsp;The doctor receives a&nbsp;report at the end of the dialogue, and the user is asked to switch to consultation and download files. The service also helps to find a suitable clinic and make an appointment.

SberHealth service was created on the basis of DocDoc company.

Digital Solutions from Moscow