{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"EP Edge Journal Watch: Cardiac Electrophysiology Research","title":"EP Edge® Journal Watch Issue 38 September 2026 with Heart Rhythm Society at HRX: AI ECG Interpretation, Wearable-Detected Ventricular Tachycardia, and LBBAP vs Deep Septal Pacing","html":"","width":"100%","height":180,"duration":958,"description":"In this special EP Edge® Journal Watch Issue 38, recorded at HRX, with the Heart Rhythm Society Live 2026 in Atlanta, Dr. Niraj Sharma is joined by Dr. Michael Lloyd, Professor of Medicine at Emory University, for a focused discussion of three provocative studies with direct implications for contemporary cardiac electrophysiology.\nFirst, they examine the emerging role of large language models and artificial intelligence in ECG interpretation. How accurately can off-the-shelf, zero-shot LLMs interpret electrocardiograms, and are currently available general-purpose AI models ready to participate in clinical ECG analysis?\nThe discussion then turns to ventricular tachycardia detected during everyday life by wearable devices. New data suggest that VT may be detected far more frequently in individuals using wearable monitoring than traditional estimates would suggest. Drs. Sharma and Lloyd discuss what these findings may mean for electrophysiologists increasingly confronted with rhythm data generated outside the clinic.\nFinally, the episode explores the continuing evolution of conduction system pacing, with new data comparing left bundle branch area pacing (LBBAP) and deep septal pacing (DSP). The conversation examines differences in clinical outcomes, the reported mortality signal associated with deep septal pacing, and an important practical problem for the field: inconsistent agreement about what actually constitutes successful LBBAP versus deep septal pacing.\nRecorded from HRX Live 2026, this episode goes beyond the abstracts to examine what the findings mean clinically, where the uncertainties remain, and how they may influence electrophysiology practice.\nTopics discussed include:\nArtificial intelligence and zero-shot LLMs for ECG interpretation\nAccuracy and limitations of AI-assisted electrocardiogram analysis\nWearable cardiac monitoring and real-world ventricular tachycardia detection\nVentricular arrhythmias detected outside traditional clinical monitoring\nLeft...","thumbnail_url":"https://img.transistorcdn.com/C7iPWVsHlGRm13syn3X4eXGLcqOXyzcuH5XmVutqgHc/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jMzFi/ZTYxOTI1M2U4NGRj/OGZmZjBhMDFlMjFm/NDQwMC5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}