This engaging AbstracX Happy Hour session, powered by 91Life, kicks off with opening remarks from 91Life. Following the introduction, AbstracX presenters will present their work in a lively, informal setting designed to foster connection and conversation.
Monitor 1:
5:35 PM – 5:45 PM
Six-Month Outcomes of Atrial Fibrillation Ablation Using Pulsed Field Energy – Comparison of Two Commercially Available Systems – Nicolle Milstein
5:45 PM – 5:55 PM
Modulation of Connexin 43 and Sodium Voltage-Gated Channel Alpha Subunit 5 in Radioablated Swine Heart – Marwan Refaat
5:55 PM – 6:05 PM
SEX DISCORDANCE ACCORDING TO NOVEL ECG SEX INDEX IS ASSOCIATED WITH ATRIALFIBRILLATION AND ATRIAL FLUTTER – Ibrahim Karabayir
6:05 PM – 6:15 PM
Vectorcardiography-Based Deep Learning Applied to a Novel Credit Card Sized Device for Atrial Flutter and Atrial Fibrillation Detection – Joshua Lampert
6:15 PM – 6:25 PM
Real-Time Imageless ECGI Mapping Predicts AF Termination Regions and Enables Immediate Feedback During Ablation – Andreu Climent
6:25 – 6:35 PM
Generalizability of Deep Learning based AF Detection Model Using 30-second Single-lead ECG from Consumer-Grade Wearables – Yingshuo Liu
Monitor 2:
5:35 – 5:45 PM
Simultaneous Detection of Sleep Apnea and Cardiac Arrhythmias in an Electrophysiology Population Using a Multi-Diagnostic Patch – Rohit Mehta
5:45 – 5:55 PM
Adherence with CPAP for patients with atrial fibrillation undergoing catheter ablation. A “real-world” analysis. – Dimitrios Varrias
5:55 – 6:05 PM
Real-Time Blood Glucose Prediction Using Heart Rate Variability Features Derived from Single-Lead ECG – Yenn-Jiang Lin
6:05 – 6:15 PM
Robust ECG Analysis Across Holter and Patch Devices: A Device-Agnostic Approach – Adrian Deery
6:15 – 6:25 PM
PVC localization from 12-lead ECG recorded during electrophysiology study using deep-learning software (vMAP) – Mlthilesh Das
6:25 – 6:35 PM
Cardiac Wearable Monitoring and Anticoagulation Initiation Following New Atrial Fibrillation Diagnosis – Geoffroy Napon
Monitor 3:
5:35 PM – 5:45 PM
Improved Cardiac Implantable Electronic Device Connectivity Utilizing a Dedicated Stay Connected Team – Caylee Zuchowski
5:45 PM – 5:55 PM
High Impedance Alert in a Hybrid Pacemaker System – Siddharth Agarwal
5:55 PM – 6:05 PM
BIOTRONIK BIOMONITOR IV Signals for Automated Remote QTc Analysis: Evidence from the SafeBeat Software Platform – Rachita Navara
6:05 PM – 6:15 PM
Machine Learning Models for Predicting Return of Spontaneous Circulation in Out-of-Hospital Cardiac Arrest Patients: A Systematic Review and Meta-Analysis – Ashish Yadav
6:15 PM – 6:25 PM
A Novel Smartphone-Based Automatic External Defibrillator: Results From A Human Factor Evaluation – Marye Gleva
Monitor 4:
5:35 PM – 5:45 PM
Time Course of Changes in Blood Pressure Upon Cessation of Chronic AtrioVentricular Interval Modulation Therapy (AVIM) – Avi Fischer
5:45 PM – 5:55 PM
Precision Risk Stratification in Atrial Fibrillation Using Dual Machine Learning Models for Stroke and Bleeding – Cong Zhao
5:55 PM – 6:05 PM
A Simplified Scoring System to Predict Progression of Clinical Atrial Fibrillation from Atrial High-Rate Episodes – Wen-Han Cheng
6:05 PM – 6:15 PM
Sinus Rhythm ECG During Blanking Period Predicts Zero Recurrence in Persistent AF: A Machine Learning Approach – Michel Abou Khalil
6:15 PM – 6:25 PM
Frequent Daily Home ECG Recordings for detecting Early Atrial Fibrillation Recurrence: Predicting Late Recurrence in Patients with Persistent Atrial Fibrillation – Masahiro Makino
Monitor 5:
5:35 PM – 5:45 PM
AI-Predicted ECG Age Gap as a Biomarker: Bias-Adjusted Correlation with Mortality and Cardiovascular Risk Factors – Myrte Bartheis
5:45 PM – 5:55 PM
AI Models to Automate Archiving of Not-relevant ILR Transmissions – Leart Ajvazaj
5:55 PM – 6:05 PM
Multi-modal artificial intelligence algorithm for the prediction of left atrial low-voltage areas in atrial fibrillation patient based on sinus rhythm electrocardiogram and clinical characteristics: a retrospective, multicenter study – Yirao Tao
6:05 PM – 6:15 PM
Real-World Performance of an AI-Enabled ECG Model for Detecting Impaired Ejection Fraction: A Multi-Center Validation Study – Deepak Padmanabhan
6:15 PM – 6:25 PM
Qualitative Evaluation Framework for Comparing the Effectiveness of Large Language Models that Power Health Care Conversations Using Generative Artificial Intelligence in Atrial Fibrillation – Ajay Tripuraneni
