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Artificial intelligence (AI) is a rapidly evolving field in medicine, especially cardiology. AI is defined as the ‘theory and development of computer systems able to perform tasks normally requiring human intelligence’.1 By creating algorithms using a variety of neural networks, we enable dynamic deep machine learning.2 3 Deep machine learning mimics the human brain by using large high-quality data sets to create layers of neural networks to generate automated predictions, interpret image data and develop pattern recognition.3–6 AI aims to aid cardiologists in making better decisions, improve workflow, productivity, and cost-effectiveness and ultimately patient outcomes.2 4 7
AI has been used in automated predictions of cardiovascular disease risk scores and heart failure diagnosis. Using recurrent neural networks, deep machine learning has …
Contributors The conception, design and drafting of the manuscript has been completed by AAM.
Competing interests None declared.
Patient consent Not required.
Provenance and peer review Commissioned; internally peer reviewed.
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