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

NCT06847932 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 14726

Last updated 2025-11-19

No results posted yet for this study

Summary

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.

Conditions

  • Atrial Fibrillation (AF)
  • Premature Atrial Complexes
  • Atrial Arrhythmias
  • Artificial Intelligence (AI)
  • Electrocardiogram

Interventions

OTHER

AF-predict AI-ECG alert system guided management

AF-predict AI-ECG alert system

Sponsors & Collaborators

  • National Defense Medical Center, Taiwan

    lead OTHER

Principal Investigators

  • Chin Lin, PhD · National Defense Medical Center

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
40 Days
Max Age
85 Days
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-07-01
Primary Completion
2026-07-01
Completion
2026-10-01

Countries

  • Taiwan

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06847932 on ClinicalTrials.gov