Artificial intelligence has the potential to revolutionise the care pathway for patients with cardiovascular disease through its ability to rapidly analyse the vast volumes of data acquired during routine clinical care (Figure 1).(1)
The electrocardiogram is a widely available diagnostic tool which records the heart’s electrical activity as a graph of voltage versus time.(2) Numerous studies have already demonstrated the potential artificial intelligence-enhanced electrocardiography has to improve patient care.(3) The aim of this editorial is to summarise the latest developments in artificial intelligence-enhanced electrocardiography and to discuss potential barriers limiting integration into clinical practice.
Author Sub-editor: Dr Pok-Tin Tang Dr Pok-Tin Tang is an ST5 cardiology registrar in the Thames Valley deanery, currently undertaking a period of out of
Author Sub-editor: Dr May Hu Dr May Hu is a cardiology trainee in the North West deanery. She graduated with First Class Honours from the University
Author Sub-editor: Dr Jhiamluka Solano Dr Jhiamluka Solano is a cardiology resident doctor (ST6) in the Yorkshire and Humber Deanery, currently undertaking a DPhil (PhD)
Author Sub-editor: Dr Joshua Rowland Dr Joshua Rowland is a cardiology registrar working in the North West Deanery. He graduated from the University of Manchester
Author Sub-editor: Dr Atmadeep Banerjee Dr Atmadeep Banerjee is an ST4 Cardiology Registrar in the Kent, Surrey and Sussex deanery. He graduated from Calcutta National
