#HRS2025 YIA Competition - Clinical EP Finalists-#HRS2025 YIA Competition

Video Transcription

Video Summary

The Young Investigator Award Competition featured presentations on groundbreaking research in electrophysiology (EP), primarily focusing on innovative techniques and technologies. Ravi Ranjan chaired the session with panelists inquisitively engaging with the finalists. Burman Zaidabadi from Imperial College London presented on an AI-enhanced ECG platform for cardiac screening and risk prediction. He discussed the successful application of AI models that use ECG images instead of signals, which can significantly enhance accessibility in facilities lacking digital infrastructure. The second presentation by Yingnan Zhang from Johns Hopkins University discussed digital twins in arrhythmia ablation for ARVC, incorporating genotype information into heart models to predict optimal ablation targets effectively. This pioneering method promises more precise and personalized treatment strategies. Lastly, Carmelo Shore from the University of Colorado explored DOAC management post-cardiac device implantation. His study found rising yet suboptimal DOAC prescription rates in clinical practice, highlighting higher stroke incidence when anticoagulation is withheld. Overall, the session showcased the potential for AI and personalized modeling to transform cardiac care and emphasized the necessity of adhering to evolving guidelines in perioperative anticoagulation management.

Keywords

electrophysiology

AI-enhanced ECG

digital twins

arrhythmia ablation

cardiac screening

personalized treatment

DOAC management

cardiac care

anticoagulation