Today we will consider the most relevant and widespread direction in which AI is used-cardiology. Cancer may seem more frightening to many, but in fact, it is the second most fatal person in rich countries. In the first place are cardiovascular pathologies - heart attack and stroke. The continuous development of the technology sector has allowed the industry to combine with medicine to create newly integrated, safe, and effective methods of providing quality medical care. One of the ongoing trends in cardiology today is the proposed use of artificial intelligence (AI) to improve and expand the efficiency of the cardiologist. Cardiology is a broad field that focuses on a large number of diseases that are specifically related to the heart, circulatory system, and their functions. Thus, a person may have similar symptoms and diagnostic signs, which makes it difficult for the doctor to determine the real problem associated with the heart. Thus, the use of artificial intelligence is aimed at ridding doctors of this obstacle and improving the quality of patient care. Artificial intelligence techniques such as machine learning, deep learning, and cognitive computing can play a crucial role in the early detection and diagnosis of PDA, as well as in predicting and predicting results. The widespread use of electronic medical records (EMRs) has led to the creation of massive data sets (quantitative, qualitative, and transactional data) that require interpretation of artificial intelligence methods.