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Number №3, 2024

Telemedicine today: trends in the use of telemedicine consultations based on regional experience

Number №2, 2024

Mobile apps for psychological well-being: user attitudes and definition of requirements

Number №1, 2024

Diagnosis in the era of digital medicine

Number №4, 2023

Artificial intelligence in Russian healthcare: collecting and preparing data for machine learning

Number №3, 2023

China as a supplier of medical equipment in the Russian Federation. Options for cooperation and features of working with Chinese suppliers

Number №2, 2023

Experience in teaching telemedicine in the system of higher professional education The attitude of medical workers to telemedicine technologies

Number №4, 2022

Physician burnout: the hidden healthcare crisis. Results of an online survey of doctors

Number №3, 2022

Interaction of clinical and diagnostic medicine. Results of an online survey of doctors

Number №2, 2022

Mobile applications for mental health self-management: a review of customers’ opinions Ultrasound robots: ready-to-use solutions and perspective directions

Number №1, 2022

Digital transformation of the pathological service as a way to improve the quality of medical care

Number №4, 2021

Clinical guidelines of the Ministry of Health of the Russian Federation: are doctors ready to follow them? Results of an online survey of doctors.

Number №3, 2021

Виртуальная реальность (VR) в клинической медицине: международный и российский опыт

Number №2, 2021

Дистанционные консультации пациентов: что изменилось за 20 лет?

Number №1, 2021

Experience of participation in the blood pressure telemonitoring pilot project of the Ministry of Healthcare

Number №4, 2020

Автоматизация процесса выявления у беременных заболевания COVID-19

Number №3, 2020

Remote cognitive behavioral therapy for stress disorder associated with the COVID-19 pandemic

Number №2, 2020

Distance education at a medical school during the COVID-19 pandemic: the first experience through the eyes of students

Number №1-2, 2018

Ответственность при использовании телемедицины: врач или юрист
Скрининг меланомы: искусственный интеллект, mHealth и теледерматология

Number №3, 2018 год

II Всероссийский форум по телемедицине, цифровизации здравоохранения и медицинскому маркетингу «ТЕЛЕМЕДФОРУМ 2019»
Эффективность телемедицинских консультаций «пациент-врач»
Телереабилитация: рандомизированное исследование исходов

Number №1-2, 2019

Роль искусственного интеллекта в медицине
Информационная система поддержки принятия врачебных решений

Number №1, 2020

Technologies for continuous monitoring of blood pressure: prospects for practical application
Telemedicine technologies in the Chinese army

Number №2, 2017

Primary telemedicine consultation "patient-doctor": first systematization of methodology

Number №1, 2017

1. A systematic review of using Internet messengers in telemedicine
2. Telemedicine and social networks in the fight against drug addiction

Number №1, 2016

1. The Experience of the Telehealth Network of Minas Gerais, Brazil
2. The Remote Monitoring of Patients with Congestive Heart Failure:The Organizational
Impact..

Number №1, 2015

Teleassessment for diagnosis and treatment in urology
Efficiency of telemedicine at the northern regions Russian Federation A.L. Tsaregorodtsev

Abstract in Russian /

Article in Russian

Number №3, 2024 - page 70-76

Prospects for the application of artificial intelligence technologies for the digital transformation of Healthcare DOI: 10.29188/2712-9217-2024-10-3-70-76

For citation: Khanov A.M., Gusev A.V., Tyurganov A.G. Prospects for the application of artificial intelligence technologies for the digital transformation of Healthcare. Russian Journal of Telemedicine and E-Health 2024;10(3):70-76; https://doi.org/10.29188/2712-9217-2024-10-3-70-76

Hanov A.M., Gusev A.V., Tyurganov A.G.

Khanov A.M. – Dr. Sci., Professor, «Medical Audit, Service and Consulting» LLC; Ufa, Russia; RSCI Author ID 881342
Gusev A.V. – PhD, Development Director of «K-Sky» LLC; Petrozavodsk, Russia; RSCI Author ID 168742
Tyurganov A.G. – PhD, Associate Professor, IP STC «Semantics»; Ufa, Russia

100

Introduction. Currently, the digital transformation of healthcare is one of the priority areas of industry development. In Russia, there is a high readiness and interest of both managers and doctors in the practical application of various digital products, including decision support systems using AI technologies.

Materials and methods. The authors analyzed the scientific research and practical developments available in Russia in order to systematize and identify the most popular scenarios for the use of artificial intelligence systems.

Results. The most promising areas for the development of artificial intelligence systems for healthcare in Russia are:

Improved diagnostics. AI systems can analyze medical images, laboratory test data and clinical histories, identify patholo- gies and offer accurate diagnoses, which helps doctors make more informed decisions.
Personalized treatment. The use of AI allows taking into account the individual characteristics of patients and offering optimal treatment regimens based on the analysis of numerous factors, such as genetic data, medical history and response to therapy.
Disease prediction. AI can help determine the likelihood of developing certain diseases in a particular patient based on their individual risk factors, allowing for preventive measures or early treatment.
Automation and optimization of processes. AI can reduce the workload of medical personnel, automate routine tasks, improve medical data management, and ensure more efficient resource allocation.

Conclusions. The proposed scenarios and areas of AI application are most likely to impact the achievement of targets and objectives set out in the national project "Healthcare" – which is a priority for the implementation of AI.