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

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Abstract

The development of artificial intelligence–based systems and their implementation in healthcare is a promising direction in contemporary cardiology. It would enable personalized approaches to diagnostics, cognitive enhancement, and prediction of cognitive training outcomes in coronary heart disease—particularly in the presence of anemia. This review analyzes studies addressing adherence to treatment recommendations among cardiology patients, improvement of well-being, reduction of mortality and disability, prolongation of working age, optimization of workload for healthcare professionals, and the transition toward digital medicine using digital cognitive training platforms incorporating artificial intelligence.

Implementation of artificial intelligence systems has the potential to improve treatment outcomes in patients with coronary heart disease and anemia, promote more efficient use of healthcare resources, and contribute to the development of personalized medicine in Russia. Further research will focus on evaluating system effectiveness and expanding its functionality through data integration and monitoring of patients’ physical activity.

About the authors

Tatyana Yu. Kalyuta

Saratov State Medical University named after V.I. Razumovsky

Author for correspondence.
Email: tatianakaluta@yandex.ru
ORCID iD: 0000-0003-3172-0804
SPIN-code: 4982-7861

MD, Cand. Sci. (Medicine), Associate Professor

Russian Federation, Saratov

Angelina M. Poroshina

Saratov State Medical University named after V.I. Razumovsky

Email: poroshina.lina@mail.ru
ORCID iD: 0000-0002-5005-1098
SPIN-code: 1051-9680
Russian Federation, Saratov

Alexander S. Fedonnikov

Saratov State Medical University named after V.I. Razumovsky

Email: fedonnikov@mail.ru
ORCID iD: 0000-0003-0344-4419
SPIN-code: 2248-5246
Russian Federation, Saratov

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