Moscow

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

medicine

telemedicine

artificial_intelligence

MeDiCase

YouScan

The system allows to monitor a brand mentions on social networks and online media, find consumer insights, respond to user concerns and analyze the perception of products and services by consumers.

YouScan provides detailed reports on the number of messages with key phrases, categorizing data by author, sentiment and source. The tool contains automatic sentiment detection. In the summary report, the service can provide basic statistical information on the selected topic with data on the number of messages recorded, authors, sources, dynamics and degree of enthusiasm (frequency of brand mentions by the user). You can attach notes to the mentioned references, there is an export of analytical reports to Excel.

In July 2019, a smart personal assistant - Aina with artificial intelligence and machine learning algorithms was announced. The main function of the assistant is to provide rapid notification of what is most important for the brand on social media at the current time. Aina defines the main source of discussion, the type of messages, region and gender of authors.

By analyzing many different parameters, such as the source of discussions, sentiment, engagement, number of likes, potential audience, Aina takes into account the overall «background» in the monitoring topic and analyzes deviations from the average parameters.

Social media analysis and monitoring system

monitoring

social_networks

online_service

services

marketing

media

SaaS

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.

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Program for filling out medical records using voice

voice_recognition

Voice2Med

Celado_AI

Selado

Algorithms automatically detect hidden patterns in company data and predict risks. Computer vision provides smart monitoring, recognizes and classifies events and objects, sends notifications, and maintains reports.

With the help of data cluster analysis, the client database is divided into segments, and that allows to make its portrait and formulate cross-sale and upsale ideas. Using Natural Language Processing (NLP), free-form text data is processed for further analysis and classification. With the help of chatbots, the work of support services, consultants, and internal services is automated.

Solutions for automation of business processes using AI

automation

covidtech

chatbots

computer_vision

Celado AI

Brand_Analytics

The system is based on a modern Big Data platform, AI technologies and high-speed computer linguistics. A platform with internally developed technological solutions can analyze more than 3 billion messages per month. Brand Analytics analyzes not only text messages, but also texts in images, decryptions of videos, check-ins and stories.

<ul>
	<li>Brand Analytics Monitors references to a company brand, person, or event on social media and mass media.</li>
	<li>Performs automatic data analysis: determines the tone of statements, highlights important messages and topics, reveals media trends.</li>
	<li>Presents the received information in the form of intuitively understandable graphs and reports.</li>
	<li>Sends notifications about important messages or media changes to a mobile application, Telegram or email.</li>
	<li>Provides the opportunity to export data and integrate with other corporate systems.</li>
</ul>

Social Media: VKontakte, Facebook, Odnoklassniki, YouTube, Instagram, Twitter, Vimeo. Forums, blogs, review sites, map services, marketplaces, messengers, Telegram channels and open chats. Mass media, original sources: 40+ thousand online media, transcripts of TV and radio broadcasts, federal and regional print media, websites of government agencies, commercial companies and organizations.

The analytical system Brand Analytics is included in the single register of Russian software. Brand Analytics is a participant of the Skolkovo project.

System for monitoring and analysis of social media and mass media

data_analysis

machine_learning

big_data

Brand Analytics

Neurodata Lab software for emotion recognition doesn’t require wearable sensors or special equipment except for webcam and microphone. The technology detects, recognizes and analyzes emotional and social behavior using neural networks, computer vision and deep learning techniques.

Emotions can be expressed through several channels (modalities): facial expressions and microexpressions of the face, oculomotor activity, voice characteristics, movements and position of the body, as well as expressing through physiology such as increased heartbeat.&nbsp; Emotion recognition technologies are applied in various fields: banking and insurance industries, retail, automobile industry, gaming industry, communications, robotics, neuromarketing, security, digital medicine.

<ul>
	<li>Face Tracker: facial recognition in the frame, as well as its individual elements (positions of eyes, mouth, nose, and other neural network characteristics that are not amenable to common interpretation).</li>
	<li>Diarization to identify human speech in the audio stream, as well as isolating the speaker’s voice, if several other voices are there in the audio stream at the moment of speech.</li>
	<li>Body Tracker: tracking body and arm movements in a video stream. </li>
	<li>Eye Tracker: Eye movement data extraction.</li>
	<li>Heart Rate Tracker: Heart rate using a video camera.</li>
	<li>Respiration Rate Tracker: respiratory rate detection using a video camera.</li>
</ul>

System for recognition and synthesis of emotions, detection and analysis of movements

neural_networks

Neurodata Lab

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

DeepPavlov

The mission of DeepPavlov project is to create a world, where people and machines communicate in the same language. In order to achieve this goal, research is being carried out in the field of conversational AI, and the latest open-source technologies are being developed and distributed through education, consulting and development of business applications.

Products and services:

<ul>
	<li>DeepPavlov - an open source framework for research and development of dialogue systems.</li>
	<li>Research in the area of NLP (Natural Language Processing).</li>
	<li>Training and customization of NLP models (on-premise and SaaS).</li>
	<li>Consulting and development of solutions for the automation of the dialogue cycle, search through knowledge bases, normalization and text analysis.</li>
	<li>Customization of the DeepPavlov open framework for business tasks and user support.</li>
	<li>Educational programs in NLP.</li>
</ul>

Open framework for research and development of dialogue systems

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.

ecosystem

SberHealth

Chatme_ai

With the help of the platform, you can create both simple chatbots and virtual assistants with flexible context settings for the bot memory and the ability to conduct multi-step dialogs. Chatme.ai can also route conversations to real operators and prompt them in real time.

Virtual assistants carry out the tasks, optimize business processes and give employees extra time for more complex tasks. The platform is based on artificial intelligence created on the basis of machine learning.

Chatme.ai automates routine tasks in HR, IT Helpdesk, Sales and Customer Care.

Smart dialogue platform for creating chatbots

Chatme.ai

Чат-боты и ассистенты

ИТ

Yandex

Yandex.Dialogs platform allows companies to create chatbots with customers.

Chats can be displayed in Yandex search results page, and also used as skills of<a href="https://ict.moscow/card/alisa/" target="_blank"> Alice voice assistant</a>. The voice&nbsp; assistant action scenario is activated by pronouncing the code&nbsp; word. &nbsp;During the dialogue, Alice transmits user remarks to the server of the client that created the dialog and answers with predefined phrases or links.

Yandex.Dialogs partners are “Papa Johns”, S7 Airlines, “MegaFon”, Reebok, “Utkonos”, “Sberbank”, Flowwow, Headhunter, Skyeng.

&nbsp;

<a href="https://dialogs.yandex.ru/developer/" target="«_blank&quot;">Create a chatbot</a>

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<a href="https://tech.yandex.ru/dialogs/chats/" target="_blank">Learn more about creating chats for business. </a>, <a href="https://tech.yandex.ru/chat/doc/dg/concepts/about-docpage/" target="_blank">API</a>, <a href="https://tech.yandex.ru/dialogs/chats/doc/create-docpage/#create" target="_blank"> Documentation </a>

<a href="https://tech.yandex.ru/dialogs/alice/" target="_blank">Learn more about creating </a><a href="https://ict.moscow/card/alisa/" target="«_blank»">Alice skills.</a>&nbsp;

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Service for creating chatbots and “Alice” skills

Tech Solutions