PROSPECTS OF ARTIFICIAL INTELLIGENCE APPLICATION IN INTERVENTIONAL CARDIOLOGY

Murodbek Khujakov Oybekovich

Authors

Murodbek Khujakov Oybekovich Assistant, Department of Medical Radiology, Interventional Cardiology, Nephrology–Hemodialysis, and Clinical Laboratory Diagnostics, Andijan State Medical Institute, Uzbekistan

Keywords:

Artificial intelligence, interventional cardiology, machine learning, deep learning, coronary angiography, stent implantation, predictive modeling, clinical decision support.

Abstract

Artificial intelligence (AI) is transforming modern cardiology by enhancing diagnostic precision, optimizing treatment planning, and supporting clinical decision-making. In interventional cardiology, AI assists in real-time image interpretation, risk prediction, and robotic-assisted interventions. This article reviews the current trends, technological applications, and future perspectives of AI integration into interventional cardiology practice. The analysis highlights the clinical benefits, ethical challenges, and potential for AI-driven innovations to improve procedural accuracy and patient outcomes.

References

Johnson KW, et al. Artificial intelligence in cardiology. J Am Coll Cardiol. 2023;81(4):345–359.

Han D, et al. Deep learning for coronary artery disease detection from angiographic images. Eur Heart J. 2022;43(7):692–704.

Patel MR, et al. Integration of AI into interventional cardiology workflow: opportunities and challenges. Catheter Cardiovasc Interv. 2024;103(1):89–98.

Zhang Y, et al. Predictive analytics in percutaneous coronary intervention: A machine learning approach. Front Cardiovasc Med. 2023;10:1132117.

Исраилова, Г. М., Эшмурадова, С. Т., & Тураев, И. Э. (2010). ГИГИЕНИЧЕСКАЯ ОЦЕНКА ФАКТОРОВ РИСКА ЗАГРЯЗНЕНИЯ МЯСОМОЛОЧНОЙ ПРОДУКЦИИ, ПРОИЗВОДИМОЙ В УСЛОВИЯХ МАЛОВОДЬЯ. Профилактическая и клиническая медицина, (1), 41-43.

Nurumbetova, S. (2022). VAIN ASPECTS OF PRACTICAL RELIGIOUS EXAMINATION IN THE INVESTIGATION OF CRIMES RELATED TO PROHIBITED RELIGIOUS MATERIALS. Science and Innovation, 1(6), 108-113.

Nurumbetova, S. (2023). MODERN OPPORTUNITIES AND PROSPECTS FOR DEVELOPMENT EXPERT-CRIMINALISTIC ACTIVITY. Modern Science and Research, 2(9), 415-419.

Nurumbetova, S. (2022). ДИНИЙ МАЗМУНДАГИ ТАҚИҚЛАНГАН МАТЕРИАЛЛАР БИЛАН БОҒЛИҚ ЖИНОЯТЛАРНИ ТЕРГОВ ҚИЛИШДА ДИНШУНОСЛИК ЭКСПЕРТИЗАСИНИ ЎТКАЗИШ АМАЛИЁТИНИНГ МУҲИМ ЖИҲАТЛАРИ. Science and innovation, 1(C6), 108-113.

Khalimovich, R. B. (2023). Simplification of criminal proceedings: concept, content and importance. World Bulletin of Management and Law, 18, 51-54.

Rajpurkar P, et al. Ethical and practical implications of AI in clinical cardiology. Nat Rev Cardiol. 2025;22(1):15–28