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 2, the following will be presented:
Analysis of a Single Heart Beat with Deep Learning for Prediction of Atrial Fibrillation in Patients with Cryptogenic Stroke: A Novel Approach to Electrocardiogram Data Augmentation
Presenting Author: Shah, Ravi Penn | 5:40 – 5:50 pm EDT
Protocolized Atrial Fibrillation Monitoring in Stroke: Optimizing Practice Based on Data
Presenting Author: Lakkireddy, Dhanunjaya R. | 5:53 – 6:03 pm EDT
Unveiling the black box in machine learning – what does ventricular tachycardia catheter redo ablation after stereotactic arrhythmia radioablation teach us?
Presenting Author: Mircea, Andrei Alexandru | 6:08 – 6:18 pm EDT
Integration of the Transtheoretical Model to Create Tailored Behavioral Regimens with Generative AI to Influence Patient Behavior in Atrial Fibrillation Management
Presenting Author: Tripuraneni, Isha | 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.