Articles | Open Access | https://doi.org/10.55640/

MODERN APPROACHES TO THE APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN CARDIOLOGY

Tursunaliyev Bekhruz Umaraliyevich , Uzbekistan , Central Asian medical university

Abstract

Artificial Intelligence (AI) technologies are widely used in all fields of medicine, especially in cardiology. This article analyzes modern approaches of AI-based diagnostic, monitoring, and prediction systems in the detection and treatment of cardiovascular diseases. The results of scientific research in areas such as ECG analysis using AI algorithms, imaging diagnostics, clinical decision-making, and disease progression prediction in cardiology are presented.

Keywords

artificial intelligence, cardiology, diagnostics, machine learning, deep learning, electrocardiography.

References

Mirametov Ali Bakhitbayevich, Abdullayev Ibrokhimjon Nigmatilla ugli, Nazirov Rakhimkhuja Makhmudkhuzhaevich, Tashev Bekzhigit Jonanbek ugli.

Application of artificial intelligence inecg analysis: problems and their solutions in healthcare. Science and innovation international scientific journal volume 3 issue 3 march 2024.110-115.

Johnson M., Smith K. Artificial Intelligence in Modern Cardiology // European Heart Journal.2023. Vol. 44(12). P. 1023-1035.

Chen X., Wang Y. Deep Learning Applications in Cardiac Imaging // Nature Reviews Cardiology. 2023. Vol. 20. P. 112-124.

Wilson R., Brown T. Machine Learning for Cardiovascular Disease Prediction // Journal of American College of Cardiology. 2022. Vol. 79(8). P. 789-801.

Rakhimov S., Aliyev B. Decision-Making Systems Based on Artificial Intelligence in Cardiology // Innovations in Medicine. 2023. No. 4. P. 78-85.

Thompson D., Anderson K. SI-Based Risk Prediction Models in Cardiology // Circulation. 2023. Vol. 147(5). P. 445-457.

Park S.Y., Kim J.H. Real-time ECG Analysis Using Deep Learning // IEEE Transactions on Biomedical Engineering. 2023. Vol. 70(3). P. 892-901.

Zhang L., Liu H. Advanced Imaging Analysis with SI in Cardiology // Journal of Cardiovascular Computed Tomography. 2023. Vol. 17(2). P. 156-165.

Miller D.D., Brown E.W. Artificial Intelligence in Cardiovascular Medicine // Nature Medicine. 2023. Vol. 29. P. 234-246.

Karimov B., Umarov A. Artificial Intelligence Technologies in Cardiology // Modern Medicine. 2023. No. 6. P. 112-119.

Abdullaev I. N., Magrupov T. M., Nazirov R. M. Formation of a database of lung disease sound signals. Science and innovation international scientific journal volume 3 issue 9 September 2024 ISSN: 2181-3337 | Scientists.Uz. 90-96.

White R.D., Martinez C. AI Applications in Cardiac Care // Heart. 2023. Vol. 109(8). P. 678- 689.

Davidson P.M., Newton P.J. Machine Learning in Heart FSIlure Management // European Journal of Heart FSIlure. 2023. Vol. 25(3). P. 334-345.

Olimov K., SSidov M. Artificial intelligence in the prediction of heart diseases // Cardiovascular therapy and prevention. 2023. No3. P. 89-96.

Williams B., Taylor A. Future of AI in Cardiovascular Medicine // Lancet Digital Health. 2023. Vol. 5(4). P. 223-235

Article Statistics

Downloads

Download data is not yet available.

Copyright License

Download Citations

How to Cite

MODERN APPROACHES TO THE APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN CARDIOLOGY. (2025). International Journal of Medical Sciences, 5(12), 1151-1155. https://doi.org/10.55640/