Polypharmacotherapy: the Use of Artificial Intelligence to Reduce Risk of Adverse Drug Reactions (Review)

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Abstract

Artificial intelligence (AI) in healthcare can be used to solve a wide range of tasks, such as diagnosis, treatment and self-monitoring of patients. This review is devoted to the problem of polypharmacotherapy, the development of adverse drug reactions as a consequence of it and the use of AI in this field. AI allows to analyze drug interactions, identify possible adverse drug reactions and suggest optimal combinations of drugs and drug regimen. The use of clinical decision support systems, which are developed in various countries, has shown improved efficiency of the doctor’s work and increased patient’s safety with the help of AI. The use of AI in polypharmacotherapy requires further research and development to improve software products that would allow evaluating not only paired, but also multiple drug interactions.

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About the authors

Valery V. Beregovykh

Russian Academy of Sciences

Email: beregovykh@ramn.ru
ORCID iD: 0000-0002-0210-4570
SPIN-code: 5940-7554

PhD in Technical Sciences, Professor, Academician of the RAS

Russian Federation, Moscow

Vladimir I. Panteleev

Plekhanov Russian University of Economics

Author for correspondence.
Email: vpantel@mail.ru
ORCID iD: 0000-0002-1575-1267
SPIN-code: 4095-8670

MD, PhD

Russian Federation, Moscow

Nikolay L. Shimanovsky

Plekhanov Russian University of Economics

Email: shimann@yandex.ru
ORCID iD: 0000-0001-8887-4420
SPIN-code: 5232-8230

MD, PhD, Professor, Corresponding Member of the RAS

Russian Federation, Moscow

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