Number №4, 2025

Legal Sovereignty of the Individual in Digital Healthcare in the Era of Artificial Intelligence

Number №3, 2025

Digital Health: Forecast for 2025-2030

Number №2, 2025

Digital technologies in remote monitoring of childbirth with a Clinical decision support system (CDSS)

Number №1, 2025

Digital technologies for health promotion and disease prevention in older adults

Number №4, 2024

Computer reconstruction of the interaction of genes associated with Angelman syndrome

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

Тег - машинное обучение

Development of a machine learning model for predicting scleroplasty outcomes in children DOI: 10.29188/2712-9217-2025-11-4-38-44, page 38-44

Shihalieva E.A. Kostenev S.V. Kechin E.V.

Detection of Parkinson's disease via EEG using machine learning and spectral analysis techniques DOI: 10.29188/2712-9217-2025-11-2-24-28, page 24-28

Vahromeeva E.A.

Application of digital technologies in neurology DOI: 10.29188/2712-9217-2023-9-4-14-22, page 14-22

Bril' E.V. Fedotova N.A. Zimnyakova O.S. Shaderkina A.I.

Artificial intelligence in Russian healthcare: collecting and preparing data for machine learning DOI: 10.29188/2712-9217-2023-9-4-7-13, page 7-13

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

Artificial intelligence in the diagnosis and treatment of kidney stone disease DOI: 10.29188/2712-9217-2022-8-1-42-57, page 42-57

Pranovich A.A. Ismailov A.K. Karelskaya N.A. Kostin A.A. Karmazanovsky G.G. Gritskevich A.A.

Weaknesses of artificial intelligence in medicine DOI: 10.29188/2712-9217-2021-7-2-50-52, page 50-52

Shaderkin I.A.

Deep machine learning (artificial intelligence) in ultrasound diagnostics DOI: 10.29188/2542-2413-2020-6-2-22-29, page 22-29

Lebedev G.S. Shaderkin I.A. Shaderkina A.I. Maslyukov A.P.

Artificial intelligence in medical imaging. Main objectives and development scenarios DOI: 10.29188/2542-2413-2018-4-3-98-102

Mescheryakova A.M. Akopyan E.A. Slinin A.S.