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HRX Abstracts

HRX Abstracts

HRX Abstracts

Explore the HRX Live 2026 Abstracts

A record-breaking 148 abstracts were submitted for HRX Live 2026, showcasing innovative research and ideas from across the field.

View the HRX Live 2026 abstracts in Heart Rhythm O2 and explore the research shared at this year’s meeting.

View the 2026 Abstracts

Abstracts Happy Hours

Go beyond the poster and into the conversation. Explore emerging research through rapid-fire presentations, discussion, and direct interaction with the innovators behind the work.

  • Friday, September 18 from 5:45 – 6:45 PM, powered by 91Life
  • Saturday, September 19 from 5:00 – 6:30 PM

Abstracts Lunch Hour

Where research sparks conversation, collaboration, and new ideas. The HRX Abstracts Lunch Hour is powered by Johnson & Johnson MedTech.

  • Saturday, September 19 from 12:30 – 1:10 PM
Submissions Closed

A Record-Breaking Year for HRX Abstracts

Thank you to everyone who submitted research, technologies, innovations, and new ideas to HRX Live 2026. Notification information, presentation details, and next steps will be shared with submitting authors in the coming weeks.

All accepted Abstracts will be presented at HRX Abstracts Happy Hours and published in the online supplement of Heart Rhythm O².

Submission Guidelines
From Abstract To Main Stage

2025 Top 5 Abstracts Semi-Finalists

Last year, five of the most compelling submissions were selected from a record-breaking 116 abstracts. This year, 148 submissions will compete for that distinction.

The groundbreaking work of the HRX Abstracts semi-finalists were celebrated during a high-energy session on the Main Stage at HRX Live 2025, moderated by Dr. Daniel Morin, University of California San Francisco.

2025 Presenting Researchers and Topics:

  • Novel Resizable Soft Robotic Catheter for Rapid Whole Chamber Mapping
    Bobak Mosadegh, Weill Cornell Medicine
  • Utilizing a Large Language Model to Assign Billing Codes and Improve Clinical Documentation
    Victor Abrich, MercyOne Waterloo Medical Center
  • Studying Left Atrial Arrhythmias Using a Real-Time, Interactive Digital Twin
    Bryant Wyatt, Tarleton State University
  • Clinical Performance of an Atrial Fibrillation Burden Tracking Algorithm: Comparisons Against Reference Public and Clinical e-Textile Data
    Yaariv Khaykin & Meysam Pirbaglou, Myant Health
  • Prediction of Undiagnosed Atrial Fibrillation by Artificial Intelligence Using 12-Lead Sinus Rhythm Electrocardiograms in Patients with Embolic Stroke of Undetermined Source
    Nobunari Tomura, Kyoto Prefectural University of Medicine

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