Artificial intelligence in cardiology for non-experts: decoding key terms and understanding machine learning methodologies. A Scientific Statement of the ESC Working Group on e-Cardiology, the European Heart Rhythm Association (EHRA), the Association for Acute CardioVascular Care (ACVC), the Heart Failure Association (HFA), the European Association of Cardiovascular Imaging (EACVI), the European Association of Preventive Cardiology (EAPC), and the European Association of Percutaneous Cardiovascular Interventions (EAPCI) of the ESC, the ESC Regulatory Affairs Committee, and the ESC Digital Cardiology and Artificial Intelligence Committee.
Abstract Evidence-based medicine represents the systematic approach through which physicians today use the best available scientific evidence from clinical research to guide their clinical decision-making process. However, the emergence of artificial intelligence (AI), with its diverse models and potential applications in medicine, is leading to a new form of research driven by ‘big data’ and heterogeneous datasets, extending beyond conventional statistical analysis and thereby making AI litera...