Features of the use of neural network technologies (AI) by specialists in therapeutic physical exercise and rehabilitation when planning and conducting personalised sessions with adults

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V.V. Bobkov
Federal Science Center of Physical Culture and Sport (VNIIFK); Plekhanov Russian University of Economics; National University of Oil and Gas «Gubkin University»; Moscow Pedagogical State University (Moscow, Russia).
Email: vitaly-x5@yandex.ru
I.V. Lazarev
Russian State University for the Humanities (Moscow, Russia).
E.S. Vanina
Sechenov First Moscow State Medical University (Moscow, Russia).
Zh.B. Egorova
Sechenov First Moscow State Medical University (Moscow, Russia).

Abstract

Objective of the study is to examine the features of introducing artificial intelligence (AI) tools into the professional activity of specialists in therapeutic physical exercise and adaptive physical culture when conducting health-improving sessions with persons who have suffered an acute cerebrovascular accident (ACA), undergoing rehabilitation in the residual (late) period of ACA. Methods and structure of the study. The scientific work was conducted in three stages. At the first – ascertaining – stage, a primary questionnaire survey of respondents was conducted, which was represented by 88 specialists in physical rehabilitation TPE/APC (men and women aged 31–59, work experience over 10 years), working in rehabilitation centres, physical fitness and health complexes (PFHC), Moscow Longevity centres (MLC). At the second – formative – stage, a training online seminar was organised, aimed at forming competencies in the field of “prompt engineering”. Participants were taught the methodology of constructing effective queries to artificial intelligence systems using a structured prompt formula. At the third, control stage, for verification of the obtained data, a control questionnaire survey and comparative analysis of the results before and after the training of respondents were conducted. Results and conclusions. A significant factor limiting the potential of using artificial intelligence is the insufficient methodological preparation of specialists in the field of “prompt engineering”. Ignorance of the rules for constructing effective prompt queries to AI leads to incorrect task setting and, as a consequence, to obtaining irrelevant or incomplete results.

Keywords

prompt – query, AI (artificial intelligence), therapeutic and adaptive physical culture, rehabilitation, participants and patients with stroke, TPE/APC, prompt formula, prompt engineering

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No. 7, pp. 28–31

Received: 20.04.2026 | Published: 26.06.2026

CC BY 4.0