Saratov State Medical University

Artificial intelligence systems for predicting chronic ischemic heart disease outcomes in cardiac surgery patients based on presence of anemia: a literature review

T. Yu. Kalyuta, Irina P. Emelyanova, Valeriy V. Suvorov et al.

2024 · 1 Zit.

THE PRECISION APPROACH IN CONTEMPORARY NEUROSURGICAL PRACTICE: A REVIEW

Yu. G. Annikov, A. A. Chekhonatskiy, N. E. Komleva et al.

2026 · 0 Zit.

What and how should cardiologists learn in the era of artificial intelligence? Opinion on a problem

Y. G. Shvarts, N.S. Akimova, L.E. Konshina et al.

2026 · 0 Zit.

[Automated system for supporting medical decision-making in the treatment of patients with renal parenchyma neoplasms first experience of using the web-platform Sechenov.AI_nephro results of multicenter testing].

A Zholdubaev A, Vik P, Gordon H. Yu et al.

2024 · 0 Zit.

Digital technologies and artificial intelligence for cognitive impairment correction in coronary heart disease depending on the presence of anemia: a review

T. Yu. Kalyuta, Angelina Mikhailovna Poroshina, Alexander Fedonnikov

2025 · 0 Zit.

Interventional cardiology in the age of artificial intelligence: technologies, innovations and challenges

T. Yu. Kalyuta, D.A. Rastyagaeva, D.S. Morev et al.

2025 · 0 Zit.

The role of artificial intelligence in post-stroke rehabilitation

Tatyana B. Grinenko, Zhanna D. Krasovskaya, Anna A. Salimgarieva et al.

2025 · 0 Zit.

On the issue of digital transformation of medical education: a study of universal and professional digital competencies of students

E. V. Romanova, T. A. Kulshan, A. S. Fedonnikov et al.

2026 · 0 Zit.

The Transformation of Cardiovascular Medicine Under the Influence of Artificial Intelligence: History, Achievements, and Prospects

Yury G. Shvarts, Natalia Akimova, Larisa E. Konshina et al.

2025 · 0 Zit.