Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology.

ABSTRACT: Artificial intelligence (AI) and machine learning (ML) in medicine are currently areas of intense exploration, showing potential to automate human tasks and even perform tasks beyond human capabilities. Literacy and understanding of AI/ML methods are becoming increasingly important to researchers and clinicians. The first objective of this review is to provide the novice reader with literacy of AI/ML methods and provide a foundation for how one might conduct an ML study. We provide a technical overview of some of the most commonly used terms, techniques, and challenges in AI/ML studies, with reference to recent studies in cardiac electrophysiology to illustrate key points. The second objective of this review is to use examples from recent literature to discuss how AI and ML are changing cl

SUBMITTER: Feeny AK 

PROVIDER: S-EPMC7808396 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature