AIMC Topic: Russia

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[The study of implementation of digital technologies on sphere of labor protection and its impact on personnel of enterprises of marine industry].

Problemy sotsial'noi gigieny, zdravookhraneniia i istorii meditsiny
The innovative technologies are becoming widespread in all spheres of human life, including labor protection. The AI, modern systems of monitoring and data analysis permit to develop devices with functions to determine physical conditions of workers,...

[The social humanitarian and economical aspects of process of digitization of medicine in the Russian Federation].

Problemy sotsial'noi gigieny, zdravookhraneniia i istorii meditsiny
The relevance of humanitarian analysis of digitization of medicine is conditioned by the fact that digitization track is a general component of transformation of entire health care system, including relationships between subjects of medicine, changes...

[The actual directions of digital development of health care system].

Problemy sotsial'noi gigieny, zdravookhraneniia i istorii meditsiny
The article presents results of analysis of current trends, challenges and prospects of health care digitization. The key directions of digital transformation are considered: telemedicine, implementation of e-medical records, application of AI, Big D...

[Medicine of the future: the role of artificial intelligence in optimizing nutrition for the health of the Russian population].

Voprosy pitaniia
One of the most pressing medical, social and government tasks is to ensure health saving, improve the quality of life and increase the life expectancy of the Russian population. The most important lever to ensure the solution of these issues is the o...

Opinion research among Russian Physicians on the application of technologies using artificial intelligence in the field of medicine and health care.

BMC health services research
BACKGROUND: To date, no opinion surveys has been conducted among Russian physicians to study their awareness about artificial intelligence. With a survey, we aimed to evaluate the attitudes of stakeholders to the usage of technologies employing AI in...

A retail investor in a cobweb of social networks.

PloS one
In this study, using AI, we empirically examine the irrational behaviour, specifically attention-driven trading and emotion-driven trading such as consensus trading, of retail investors in an emerging stock market. We used a neural network to assess ...

Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning.

Journal of medical Internet research
BACKGROUND: There is a limited amount of data on the safety profile of the COVID-19 vector vaccine Gam-COVID-Vac (Sputnik V). Previous infodemiology studies showed that social media discourse could be analyzed to assess the most concerning adverse ev...

Comparative study of machine learning methods for COVID-19 transmission forecasting.

Journal of biomedical informatics
Within the recent pandemic, scientists and clinicians are engaged in seeking new technology to stop or slow down the COVID-19 pandemic. The benefit of machine learning, as an essential aspect of artificial intelligence, on past epidemics offers a new...

Improving Loanword Identification in Low-Resource Language with Data Augmentation and Multiple Feature Fusion.

Computational intelligence and neuroscience
Loanword identification is studied in recent years to alleviate data sparseness in several natural language processing (NLP) tasks, such as machine translation, cross-lingual information retrieval, and so on. However, recent studies on this topic usu...

Modelization of Covid-19 pandemic spreading: A machine learning forecasting with relaxation scenarios of countermeasures.

Journal of infection and public health
BACKGROUND & OBJECTIVE: Mathematical modeling is the most scientific technique to understand the evolution of natural phenomena, including the spread of infectious diseases. Therefore, these modeling tools have been widely used in epidemiology for pr...