Artificial Intelligence in the Diagnosis and Management of Arrhythmias

Venkat D. Nagarajan; Su-Lin Lee; Jan-Lukas Robertus; Christoph A. Nienaber; Natalia A. Trayanova; Sabine Ernst


Eur Heart J. 2021;42(38):3904-3916. 

In This Article


Artificial intelligence has considerable impact on all aspects of patient management in the field of cardiac EP from the identification of arrhythmia to therapy (invasively and non-invasively). Simple AI techniques have been established in the form of computerized interpretation of electrocardiography and rule-based algorithms for cardiac devices. Recent advances with the use of DL techniques are paving the way for newer research in arrhythmia detection and arrhythmogenic focus identification. The most recent AI-aided advancements in cardiac imaging invigorated the attempts to develop better non-invasive mapping techniques to guide targeted ablation therapies (invasive and non-invasive). This is a new paradigm shift and promises personalized 'state of the art' precision care for patients with complex cardiac arrhythmias. The combination of advanced communication and imaging technologies have helped the rapid adoption of AI techniques and big data research as evidenced by the exponential growth of literature on AI-aided research. It may well be that we are in the midst of an AI-led profound change in patient care. Cardiologists are invited to this new paradigm shift whilst cautiously evaluating the fallout. As is well said 'with great power comes great responsibility', it ultimately rests upon the EP community to take responsibility and engage in collaboration.