Until now, its role has been limited to visual and quantitative assessment of cardiac structure
and function. However, with the advent of big data and machine learning, new opportunities
are emerging to build artificial intelligence tools that will directly assist the clinician in the
diagnosis of CVDs. This paper presents a thorough review of recent works in this field and
provide the reader with a detailed presentation of the machine learning methods that can be …