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Study identifier: NCT06847932 Synced from ClinicalTrials.gov · July 28, 2026
● Recruiting

Leveraging AI-ECG Technology for Early Notification and Tracking of AF Development

Condition: Atrial Fibrillation (AF) · Premature Atrial Complexes · Atrial Arrhythmias  ·  Sponsor: National Defense Medical Center, Taiwan

PhaseNA
Planned participants14726
Who can joinAll sexes, 40 Days to 85 Days
Healthy volunteersNo

About this study

Our study aimed to use an AF-predict AI-ECG alert system to help physicians identify patients who need to wear a continuous cardiac rhythm monitor for new diagnoses of atrial fibrillation (AF), atrial flutter (AFL), or atrial arrhythmia with high AF risk, including premature atrial complexes (PAC) ≥ 500/24hr, burst PACs \> 20 beats, non-sustained AF/AFL.

This description comes directly from the study's public registry record.

Talk to the study team

Chin Lin, PhD  ·  +886-2-8792-3100 Ext. 18574  ·  xup6fup@mail.ndmctsgh.edu.tw

ChiaoChin Lee, MD  ·  +886919614672  ·  chiaochinlee@hotmail.com

Always discuss trial participation with your own doctor first.

Locations (1)

Tri-Service General HospitalTaipei, TaiwanRecruiting

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Source record: clinicaltrials.gov/study/NCT06847932