Выпуск №2, 2025 | The journal of telemedicine and eHealth

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

Digital technologies in remote monitoring of childbirth with a Clinical decision support system (CDSS)	Ankudinov N.O., Koltasheva I.M., Vagushchenko U.A., Gimranov D.V., Sitnikov A.F., Sitnikov F.A.
DOI: 10.29188/2712-9217-2025-11-2-7-13	Download

«CORINTEL.TECH»: artificial intelligence for electrocardiogram annotation	Antipova A.A., Dolmatova S.A., Volkova D.A., Khatsiev R.T., Yaroshenko A.V., Andrikov D.A.
DOI: 10.29188/2712-9217-2025-11-2-14-18	Download

Intelligent сhatbot MS-Assist for clinical decision support in multiple sclerosis	Arsentyeva N.V.
DOI: 10.29188/2712-9217-2025-11-2-19-23	Download

Detection of Parkinson's disease via EEG using machine learning and spectral analysis techniques	Vakhromeeva E.A.
DOI: 10.29188/2712-9217-2025-11-2-24-28	Download

DocLearn: An Integrated Digital Ecosystem for a Medical Career	Vysotsky L.I.
DOI: 10.29188/2712-9217-2025-11-2-29-33	Download

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Выпуск №2, 2025 DOI: 10.29188/2712-9217-2025-11-2

ORIGINAL STUDIES

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Social media as a communication tool between physician and patient: analysis of risks, clinical outcomes, and regulatory barriers	Shaderkin I.A., Shaderkina V.A.
DOI: 10.29188/2712-9217-2025-11-2-34-44	Download