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

Study acronym: LATENT
StatusRecruiting
PhaseNot applicable
Started
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Record status
This record was last updated November 19, 2025 (before its estimated July 1, 2026 completion). Its status may not reflect the trial's current state.

Record History

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  1. Trial status: Not Yet Recruiting to Recruitingv3 Show 4 more changesShow less
    • Start date changed from estimate of Mar 1, 2025 to Jul 1, 2025
    • Primary completion date: May 31, 2026 to Jul 1, 2026
    • Study completion date: Aug 31, 2026 to Oct 1, 2026
    • Site details revised
  2. Primary endpoint revised
    • Secondary endpoints: details revised at 3 of 3 entries
    • Site contact updated
    v2
  3. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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.
Trial Details
NCT Number NCT06847932
Lead Sponsor National Defense Medical Center, Taiwan
Conditions
(from sponsor)		 Atrial Fibrillation (AF), Premature Atrial Complexes, Atrial Arrhythmias, Artificial Intelligence (AI), Electrocardiogram
Related terms Atrial Fibrillation, Atrial Premature Complexes
Enrollment 14,726 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov