Digitalization of childhood obesity prevention and treatment: experience and development prospects (review)

Bogdanyants M.V.

1) Astrakhan State Medical University, Astrakhan, Russia; 2) Children’s City Polyclinic No. 3, Astrakhan, Russia

Background: Obesity and overweight are leading causes of chronic noncommunicable diseases (NCDs), posing a serious threat to public health, including children. Traditional approaches to obesity prevention and treatment are insufficiently effective, so it is necessary to explore the potential of digital technologies and artificial intelligence.
Objective: Characterization of current scientific data and clinical prospects for the application of digital technologies and artificial intelligence in the prevention, diagnosis, and management of obesity and overweight, and examination of the impact of these technologies on NCD prevention.
Methods: A systematic review and meta-analysis of 15-year studies on the use of digital technologies and artificial intelligence in the prevention and treatment of obesity was conducted. Leading international databases (PubMed, Scopus, Web of Science, Medline, and E-library) served as the primary sources of information. A qualitative data analysis identifying key achievements and limitations of existing approaches was performed.
Results: The review highlights key areas of randomized controlled cohort studies examining the role of digital technologies and artificial intelligence in obesity diagnosis, risk assessment, and the selection of personalized preventive measures. Particular attention is paid to the implementation of digital solutions in pediatrics to prevent childhood obesity.
Conclusion: Modern digital technologies and artificial intelligence demonstrate high potential for improving the prevention, diagnosis, and treatment of obesity and overweight, including in children. Their implementation can significantly reduce the risk of developing chronic noncommunicable diseases and improve the quality of life of the population.

For citations: Bogdanyants M.V. Digitalization of childhood obesity prevention and treatment: experience and development prospects (review). Pharmateca. 2026;33(2):23-29. (In Russ.). DOI: https://dx.doi.org/10.18565/pharmateca.2026.2.23-29

Authors’ contribution: M.V. Bogdanyants – study concept and design, data collection and processing, writing, editing.
Conflicts of interest: The authors confirm that they have no conflicts of interest to declare.
Funding: The study was conducted without any sponsorship.
Additional Information: The study was conducted in accordance with the World Medical Association Declaration of Helsinki and the Rules of Clinical Practice in the Russian Federation.

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About the Authors

Maya V. Bogdanyants, Cand. Sci. (Med.), Associate Professor, Department of Propaedeutics of Childhood Diseases, Outpatient and Emergency Pediatrics, Astrakhan State Medical University; Pediatrician, Children’s City Polyclinic No. 3, Astrakhan, Russia; bogdanmv1960@mail.ru, ORCID: https://orcid.org/0000-0002-4130-4006

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