Artificial intelligence technologies in medicine. Problems of establishment

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Abstract

In the period of global digitalization of society and healthcare, special attention is paid to the development of artificial intelligence (AI) technologies in medicine. To date, there are two main approaches to implementing AI technology based on machine learning methods and knowledge. In the former case, datasets are used; in the latter case, there is the knowledge acquired from scientific sources or experts. Each of the methods has both advantages and disadvantages. Medical decision support systems are being actively developed and implemented. But is everything so simple?

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About the authors

E. Borodulina

Samara State Medical University, Ministry of Health of Russia

Author for correspondence.
Email: borodulinbe@yandex.ru

Professor, MD

Russian Federation, Samara

V. Gribova

Institute of Automation and Control Processes, Far Eastern Branch, Russian Academy of Sciences

Email: borodulinbe@yandex.ru

Corresponding Member of the Russian Academy of Sciences, TechnD

Russian Federation, Vladivostok

E. Vdoushkina

Samara State Medical University, Ministry of Health of Russia

Email: borodulinbe@yandex.ru

Candidate of Medical Sciences

Russian Federation, Samara

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