OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 27.03.2026, 05:11

S. M. Kirov Military Medical Academy

6.874 Arbeiten49.247 Zitationen
Land: RUTyp: education

Relevante Arbeiten

Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Scientometric analysis of dissertation papers on pediatric dentistry in Russia

Иван K. Soldatov, Lilia N. Juravleva, Nikolaj V. Tegza et al.

2024 · 15 Zit.

Telemedical technologies: from theory to practice

P. Seliverstov, S. R. Bakaeva, В. В. Шаповалов et al.

2023 · 12 Zit.

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

P. Seliverstov

2024 · 11 Zit.

Digitalization of anesthesiology and resuscitation services: multicenter questionnaire study

V. I. Gorban, А. В. Щеголев, Д. Н. Проценко et al.

2024 · 8 Zit.

Psychology of patient adaptation to the use of artificial intelligence in screening for chronic noncommunicable diseases

P. Seliverstov

2025 · 6 Zit.

Artificial Intelligence in Nursing Practice: Legal Aspects and Transformation of the Profe ssional Role of Nurses

P. Seliverstov

2024 · 5 Zit.

Practical implementation of artificial intelligence technologies during preventive medical examination

P. Seliverstov, Е. V. Kryukov, В. Б. Гриневич

2025 · 4 Zit.

The Future of Nursing in the Era of AI and Healthcare Robotization

P. Seliverstov

2025 · 3 Zit.

Predicting leading indicators of patient status using medical digital twins

Evgeniy Minakov, В. Б. Гриневич, Е. V. Kryukov et al.

2025 · 3 Zit.

A study of the transformation of digital twins into personalized medicine

P. Seliverstov, Е.V. Kryukov, V.B. Grinevich et al.

2025 · 2 Zit.

Artificial intelligence-based information technologies in the era of personalized health assessment

P. Seliverstov, В. В. Шаповалов, Y. Kravchuk et al.

2025 · 2 Zit.

Genesis of scientific research directions in dentistry: on the materials of dissertation research

Иван K. Soldatov, В. И. Евдокимов, G.A. Grebnev

2023 · 2 Zit.

Methods for identifying medical digital twins and a priori determining the characteristics of patient parameter predictions based on their data

E. Minakov, В. Б. Гриневич, E. Kryukov et al.

2025 · 1 Zit.

USING ARTIFICIAL INTELLIGENCE FOR BIOMARKER ANALYSIS IN CLINICAL DIAGNOSTICS

P. Seliverstov, V. Kutsenko, V. G. Gorelova et al.

2024 · 1 Zit.

Architecture of a software modeling complex for predicting key indicators of patient condition using medical digital twins

E. Minakov, V.B. Grinevich, E. Kryukov et al.

2026 · 0 Zit.