Prospects for the use of telemedicine technologies based on artificial intelligence during medical examination

Author:

Seliverstov P. V.1ORCID

Affiliation:

1. Military Medical Academy named after S.M. Kirov

Abstract

Telemedicine technologies based on artificial intelligence are certainly relevant and promising areas of medical development in Russia and the world. Thanks to their active implementation in practical healthcare, medicine has moved to a new level of quality in the provision of electronic medical services. One of the urgent problems of modern healthcare worldwide is the growing number of chronic non-communicable diseases. To date, the economic and social losses associated with their spread have reached significant levels in most countries of the world. In this connection, there is an urgent need to develop measures aimed at early identification of risk factors contributing to the development of chronic non-communicable diseases and their timely correction. In a number of countries, today the use of modern technologies, including those based on artificial intelligence, which guarantee the identification of risk factors and complications of chronic noncommunicable diseases at an early stage, which, in turn, allows to increase the effectiveness of treatment, and ultimately improve the quality of medical care. By using systems capable of processing huge amounts of medical data and providing the doctor with a comprehensive assessment of the available information within a few seconds, it is possible to significantly increase the efficiency of the doctor’s work, while not lengthening the appointment time and even reducing the workload. Telemedicine systems based on intelligent technologies that are being created for practical use must undergo clinical trials and verification of diagnostic accuracy. Systems for determining risk factors for chronic noncommunicable diseases that have been successfully tested are already being used today for preventive medical examinations. 

Publisher

Remedium, Ltd.

Reference24 articles.

1. Drapkina OM, Kontsevaya AV, Kalinina AM, Avdeev SN, Agaltsov MV, Alexandrova LM et al. 2022 Prevention of chronic non-communicable diseases in the Russian Federation. National guidelines. Cardiovascular Therapy and Prevention (Russian Federation). 2022;21(4):3235. (In Russ.) https://doi.org/10.15829/1728-8800-2022-3235.

2. Seliverstov PV, Bakaeva SR, Shapovalov VV, Aleshko OV. Telemedical technologies: from theory to practice. Meditsinskiy Sovet. 2022;16(23):366–372. (In Russ.) https://doi.org/10.21518/2079-701X-2022-16-23-366-372.

3. Karpov YuA. New perspectives for the treatment of arterial hypertension: 2017 аmerican guidelines. Meditsinskiy Sovet. 2018;(5):8–14. (In Russ.) https://doi.org/10.21518/2079-701X-2018-5-8-14.

4. Аксенова ЕИ, Короткова ЕО, Горбатов СЮ, Камынина НН. Мониторинг факторов риска неинфекционных заболеваний взрослого населения: международный опыт. М.: ГБУ «НИИОЗММ ДЗМ»; 2022. 70 с. Режим доступа: https://niioz.ru/upload/iblock/cbf/cbf27e29bd8b5c7e31a25aa5006d17cf.pdf.

5. Прокопенко ЮИ. Системные риски здоровью. Екатеринбург: Издательские решения; 2015. 202 с. Режим доступа: https://ridero.ru/books/sistemnye_riski_zdorovyu.

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