ARTIFICIAL INTELLIGENCE AND ITS ROLE IN IMPROVING THE DIAGNOSIS OF CARDIOLOGICAL CONDITIONS
Keywords:
Artificial Intelligence, Cardiology, Diagnosis, Personalized TreatmentAbstract
Against the backdrop of rapid development of artificial intelligence (AI) in medicine, its application in cardiology is becoming increasingly significant. This article discusses the role and impact of artificial intelligence on improving the diagnosis of cardiological conditions. Methods of machine learning and neural networks used for the analysis of various types of medical data, including electrocardiography (ECG), coronary angiography (CAG), and others, are examined in detail. The advantages of using artificial intelligence include increased accuracy and speed of diagnosis, early detection of pathologies, and a personalized approach to treatment. The prospects for further development in this area and the possibilities of integrating artificial intelligence into clinical practice with the aim of improving healthcare and treatment outcomes for patients with cardiovascular diseases are discussed.
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