Artificial intelligence (AI) and machine learning (ML) are poised to influence almost every aspect of the human condition, and cardiology is no exception to this trend. This article guides for clinicians on relevant aspects of AI and ML, evaluates selected applications of these approaches in cardiology to date, and identifies How cardiovascular medicine can integrate artificial intelligence into the future [1]. Artificial intelligence approaches combined with the latest technologies, including medical devices, mobile computing, and sensor technology, have the potential to enable the creation and delivery of better managed services to deal with chronic diseases [3]. The widespread application of AI in healthcare was predicted half a century ago. For much of this period, this approach has produced expert systems and graphical models that attempt to automate expert reasoning processes. However, in the last decade, a completely different approach to artificial intelligence called deep learning has made breakthroughs and is now used on billions of digital devices for tasks. complex services such as speech recognition, image interpretation, and language translation [2].
Key words: Artificial intelligence, machine learning, cardiology, chronic diseases, image interpretation
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