“APPLICATION OF ARTIFICIAL INTELLIGENCE IN CARDIOLOGY: DIAGNOSIS, TREATMENT, AND FUTURE PROSPECTS”
Abstract
This article reviews the application of artificial intelligence in cardiology, focusing on its role in early disease detection, diagnostic imaging analysis, treatment planning, and remote patient monitoring. Key AI techniques, including machine learning and deep learning, are examined, along with their advantages and limitations. Challenges such as data security, algorithm accuracy, and the need for clinician adaptation are discussed. The article also explores future prospects, highlighting emerging diagnostic technologies, smart medical devices, and integrated AI-based medical systems. AI is shown to have the potential to improve patient care, clinical decision-making, and healthcare efficiency in cardiology.Keywords
Artificial intelligence, cardiology, machine learning, deep learning, diagnosis, predictive analytics, remote monitoring, personalized treatment, cardiac imaging, data privacy.
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