Artificial intelligence as an infrastructure component of modern cardiology: an overview of promising solutions and clinical effectiveness

Artificial intelligence (AI) technologies are increasingly used in cardiology. Consistent and safe implementation requires ongoing systematization and analysis of the effectiveness of existing solutions to address potential risks promptly. Objective. To analyze the effectiveness and limitations of Russian and international AI solutions in cardiology practice. Materials and methods. Literature from 2020 to 2026 was reviewed using PubMed, Cochrane Library, and eLibrary.ru, covering Russian and international sources. Results. AI tools are widely adopted in cardiology practice. Key applications include AI-based technologies that enhance the accuracy of diagnostic methods such as computed tomography, magnetic resonance imaging, echocardiography, and electrocardiography; medical decision support systems; AI models for predicting adverse cardiovascular events; and AI-assisted telemonitoring systems. However, many AI tools still have significant limitations that restrict their clinical utility, and further research and rigorous oversight are needed before broader clinical integration. Conclusions. Artificial intelligence has significant potential to transform cardiovascular care. However, large-scale randomized studies, external validation, standards for artificial intelligence technologies, and comprehensive assessments of effectiveness are still required for its safe and effective implementation in cardiology.