Electrophysiology, which deals with the study of the electrical properties of biological cells and tissues of the heart, stands to benefit immensely from artificial intelligence’s (AI’s) capabilities. In electrophysiology, AI’s primary applications revolve around data analysis, pattern recognition, and predictive modelling. These applications are particularly crucial given the complex and voluminous data generated in electrophysiological studies and interventions. Traditional methods of data analysis often fall short in efficiently handling and interpreting such data, leading to delays and inaccuracies. AI, with its ability to process large datasets rapidly and accurately, offers a solution to these challenges. AI holds the promise of revolutionizing electrophysiology by enhancing diagnostic accuracy, personalizing treatments, and accelerating research and education. As we navigate the complexities and challenges associated with its implementation, the collaboration between AI and electrophysiology is poised to lead to transformative advancements in patient care. This chapter delves into the integration of AI in electrophysiology, exploring its current applications, potential, and the future trajectory of this symbiotic relationship.