Abstract
Artificial intelligence (AI) is used in the field of medicine to retrieve information from large databases by using advanced computer algorithms. AI has the potential to accelerate the identification and management of cardiovascular diseases (CVDs), including conditions such as heart failure, atrial fibrillation, valvular heart disease, hypertrophic cardiomyopathy, congenital heart disease, and several others. From a clinical perspective, AI enhances the diagnosis of CVD, increases the usefulness of auxiliary tools, aids in stratifying and identifying different types of diseases, and enables accurate prediction of outcomes. State-of-the-art AI algorithms, designed to extract minute connections from extensive healthcare data, are anticipated to address more challenging tasks compared to earlier methods. The goal of this research is to emphasize the current uses of AI in CVDs, thereby equipping doctors with little knowledge in computer science to gain a deeper understanding and effectively use AI algorithms in clinical practice.
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