Computational Applications for Clinical Cardiology

Lecture / Panel
Open to the Public

Jankelson Upper right


Lior Jankelson, MD, PhD
Associate Professor, Director
Dept. of Medicine
NYU Grossman School of Medicine


In the rapidly evolving landscape of clinical cardiology, the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies presents a frontier with immense potential to revolutionize patient care. In this talk, Dr. Jankelson will delve into the innovative research being conducted in his lab to harness these technologies. For example, his group is developing clinical tools that significantly enhance the utilization of genetic information in diagnosing and treating heart conditions. Furthermore, they are creating machine learning models tailored to interpret electrocardiogram (EKG) data in novel ways. By leveraging AI to analyze EKG outputs, researchers are able to predict cardiac events with greater accuracy than ever before, paving the way for more effective preventative strategies and interventions. Moreover, the talk will explore the use of machine-generated data in refining the approaches to ablative therapy, a key treatment for various heart rhythm disorders. Through the application of AI and ML, the lab is at the forefront of developing methodologies that not only enhance the precision of ablative interventions but also contribute to a deeper understanding of their mechanisms and outcomes. Finally, this talk will not only provide a glimpse into the current state of AI and ML applications in the field but also project future directions and the potential for these technologies to become integral components of clinical cardiology practice.

Dr. Jankelson received his PhD in Biophysics and his MD from the Ruth and Bruce Rappaport Faculty of Medicine at the Israel Institute of Technology (Technion), in 2009. Subsequently he completed his residency in internal medicine at the Tel Aviv Sourasky Medical Center, which was followed by a fellowship in cardiovascular disease at the same institution. In 2016 he moved to New York and started another fellowship in electrophysiology at NYU Langone. Since then, he has been promoted to Associate Professor of Medicine and became the Director of the Inherited Arrhythmia Program in 2022. In addition to his academic work, he has cofounded 2 companies. NeuroQuest is developing immuno-biomarkers for neurodegen-erative disease, and Anchora Medical is developing disruptive automated suturing systems.

Lior Jankelson
A scatterplot of sinus QTc values calculated by the Fridericia formula plotted against atrial fibrillation QTc values predicted by the convolutional neural network model.