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.
| Mualliflar | Аляви Анис Лютфуллаевич, Аляви Бахромхон Анисханович, Абдуллаев Акбар Хатамович, Узоков Жамол Камилович, Муминов Шовкат Кадирович, Исхаков Шерзод Алишерович, Вирхов Игор Петрович, Аширбаев Шерзод Пардаевич |
|---|---|
| Jurnal | Journal of cardiorespiratory research/Kardiorespirator tadqiqotlar jurnali |
| Nashr sanasi | 2024-08-13 |
| Jild | 5 |
| Son | 2 |
| Til | Rus |
Искусственный интеллект, Кардиология, Диагностика, Персонализированное лечение, Artificial Intelligence, Cardiology, Diagnosis, Personalized Treatment, Sun'iy intellekt, Kardiologiya, Tashxislash, Shaxsiylashtirilgan davolash
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