AbstracX Happy Hour powered by 91Life, a unique and engaging event designed to spotlight significant clinical and translational research findings. Join us for an evening of rapid-fire presentations and stimulating discussions! Enjoy complimentary drinks and appetizers while networking and exploring groundbreaking research. This session features digital moderated posters in comfortable seating areas. Each presenter will have 10 minutes to showcase their research, including an interactive Q&A segment.
For Monitor 1, the following will be presented:
Artificial Intelligence Enabled Electrocardiogram Algorithm to Predict Atrial Fibrosis
Presenting Author: Gruwez, Henri | 5:40 – 5:50 pm EDT
A Step Forward in Predictive Cardiology: AI-Driven ECG Algorithm for Predicting the Occurrence of Intraventricular Conduction Abnormalities with Wide QRS Complex
Presenting Author: Lim, Jiwoo | 5:53 – 6:03 pm EDT
Evaluation of Long-term Cardiovascular Risks in ENDS Users with ECG-AI Models to Predict Heart Failure and Fatal Coronary Heart Disease
Presenting Author: Kalscheur, Matthew | 6:08 – 6:18 pm EDT
Machine Learning Algorithm for QTc Measurement and AAD Dosing Recommendations in Long QT mECG Dataset
Presenting Author: Patel, Kunj | 6:20 – 6:30 pm EDT
All AbstracX are currently under embargo, but each will be published in an online supplement of the Heart Rhythm Journal on September 5, 2024 at 5:00 PM ET.