AbstracX Happy Hour II – Powered by 91Life

September 05, 2025 | 05:30 PM (EDT) - 06:30 PM (EDT)

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Speakers
Moez Alnazeer
Cardiology Fellow
Baylor College of Medicine
Mohammad Montaser Atasi
Postdoctoral Research Fellow
TRIAD
Jina Choi
Cardiology Fellow
Seoul National University Bundang Hospital
Prasanth Ganesan
Research Scientist
Stanford Medicine
Shruti Ganesan
Finance Account Officer | HealthTech Innovator
DMCC (Dubai Multi Commodities Centre)
Sandeep Gulati
CTO & VP - Clinical R&D and Platform Innovation | CTO & Founder
Peerbridge Health | Aerolliance Corp.
James Ip
Professor
Weill Cornell Medicine
Suraya Hani Kamsani
Consultant Cardiologist and Electrophysiologist
National Heart Institute, Malaysia
Mahsa Khalili
Postdoctoral Fellow
University of British Columbia
Yaariv Khaykin
Chief Medical Information Officer
Myant Health
Amanda Kremer
Director of Clinical Integration
Volta Medical
Abhishek Maan
Cardiac Electrophysiologist
The University of Toledo
Arun Mahtani
Cardiology Fellow
VCU Health
Christian Massad
Research Fellow
TRIAD
Dan Musat
Cardiac Electrophysiologist
Valley Health System
Alvaro Reyes-Quintero
Research Fellow - International Medical Program UAG SOM PhD Candidate - Human Genetics
Clinical Electrophysiology and Cardiogenetics National Institute of Cardiology Ignacio Chavez Professor of Medicine
David Savage-Lobeck
Internal Medicine Resident
South Texas Health System
Chirag Shah
Cardiology Fellow
Westchester Medical Center
William Swain
Cardiology Fellow
Mayo Clinic
Poonam Tawde
PGY-1 Internal Medicine resident
University of Arizona – Banner Del E. Webb Medical Center
Meghan Reading Turchioe
Assistant Professor
Columbia University
Jason Yao
Principal Systems Engineer
Abbott EP
Ivan Nenadic Wood
Cardiology Fellow, Professor of Biomedical Engineering, Medical Technology Consultant
Duke University Health System
Moderator
Kamala Tamirisa
Clinical Cardiac Electrophysiologist & Cardiac MR Imaging Specialist
Texas Cardiac Arrhythmia

AbstracX Happy Hour II - Powered by 91Life

AbstracX Happy Hour Monitors 1-5
September 05, 2025 | 05:30 PM (EDT) - 06:30 PM (EDT)

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

Patient Perceived Degree of Empathy Exhibited by a Physician Guided, Prompt Engineered, Generative AI Agent Designed for Atrial Fibrillation Education – Arun Mahtani

5:45 PM – 5:55 PM

From Prediction to Intervention: Machine Learning Identifies Modifiable Drivers of AF Progression for Clinical Action – Mohammad Montaser Atasi

5:55 PM – 6:05 PM

Beyond the CHA2DS2VASc Score: Machine Learning Enhances Stroke Prediction in Low-Risk Atrial Fibrillation Patients- Christian Massad

6:05 PM – 6:15 PM

Predicting mitral stenosis with artificial intelligence-powered ECG analysis for appropriate anticoagulation treatment in patients with atrial fibrillation – Jina Choi

6:15 PM – 6:25 PM

ELECTROCARDIOGRAPHY FROM DEEPER SLEEP BETTER PREDICTS ATRIAL FIBRILLATION RISK – Shekhar Singh


Monitor 2:

5:35 – 5:45 PM

Designing Patient-Facing AI Tools: Usability Evaluation of a Smartphone App Displaying Cardiac Implantable Device Data – Meghan Reading Turchioe

5:45 – 5:55 PM

Direct-from-ECG Dynamic Ventricular Dyssychrony-Guided BiV Pacing and Adaptive CRT Optimization to Improve Outcomes in Heart Failure Patients – Sandeep Gulati

5:55 – 6:05 PM

Evaluation of Photoplethysmography-Based Smartphone App Accuracy for Detecting Atrial Fibrillation After Ablation – Suraya Hani Kamsani

6:05 – 6:15 PM

Detection of Atrial Fibrillation Recurrence Post-Ablation Using Photoplethysmography-Based Smartphone App – Suraya Hani Kamsani

6:15 – 6:25 PM

Improving Wearable Cardiac Arrest Detection with Clinical Data – Mahsa Khalili


Monitor 3: 

5:35 PM – 5:45 PM

Initial Experience with a Novel Augmented Reality System to Facilitate Atrial Fibrillation Ablation Using Pulse Field Energy – Dan Musat

5:45 PM – 5:55 PM

A Multicenter, Placebo-Controlled, Phase 3 Study of Etripamil in Patients with Atrial Fibrillation and Rapid Ventricular Rate: ReVeRA-301 Trial Design – James Ip

5:55 PM – 6:05 PM

Scalable AF Detection Using CNNs with Stockwell and Fourier Transforms: A Signal Processing Approach for Clinical and Consumer ECGs – Ivan Nenadic Wood

6:05 PM – 6:15 PM

An Automated Tool for Extraction and Parsing of ECG Waveforms from ECG Reports to Train Machine Learning Models – Prasanth Ganesan

6:15 PM – 6:25 PM

Use of Machine-Learning Algorithm to Predict the Occurrence of Ventricular Tachycardia Events in Patients in Intensive Care Unit – Abhishek Maan


Monitor 4:

5:35 PM – 5:45 PM

Deep Learning Analysis of Electrocardiograms for Automated Detection of Cardiac Arrhythmias in Pediatric Patients – David Savage-Lobeck

5:45 PM – 5:55 PM

Multiparametric Risk Stratification and EHR-Integrated Intervention for Postpartum Cardiovascular Disease Prevention in Women with Hypertensive Disorders of Pregnancy and Gestational Diabetes Mellitus – Poonam Tawde

5:55 PM – 6:05 PM

Heart Rate Concordance Between Electronic Textile and Standard Cardiovascular Monitoring Technologies in Ambulatory and Critical Care Patients – Yaariv Khaykin

6:05 PM – 6:15 PM

A Deep Learning Algorithm for PVC Localization From A Standard 12 Lead ECG – Chirag Shah

6:15 PM – 6:25 PM

AI-Based Framework for Expert-Level Diagnosis of Peritricuspid Flutter – Amanda Kremer


Monitor 5:

5:35 PM – 5:45 PM

Auto-Contour LA – A Semantic Segmentation Approach to Left Atrial Navigation in Intracardiac Echocardiography – Jason Yao

5:45 PM – 5:55 PM

Artificial intelligence electrocardiography predicts undiagnosed hypertrophic cardiomyopathy in post-hoc analysis of cardiac arrest survivors – William Swain

5:55 PM – 6:05 PM

Mapping the Invisible: Spatial ERP Mapping as a Targetable Marker of Arrhythmogenic Substrate – Moez Alnazeer

6:05 PM – 6:15 PM

Decoding the Structural Cardiogenomics of Nav1.5: Integrating AlphaFold Structural Context and PMut Pathogenicity Scores to Prioritize SCN5A Missense Variants – Alvaro Reyes-Quintero

6:15 PM – 6:25 PM

Pilot study of Voice Enabled Detection of LV Systolic Dysfunction Using Machine Learning – Shruti Ganesan

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