Proactive Risk Evaluation for Cardiac Implantable Electronic Device Strategy Using AI-ECG

Recruiting now · Not applicable

Conditions studied: Artificial Intelligence (AI), Cardiac Implantable Electrical Devices, Conduction Disorder of the Heart

In brief

The goal of this clinical trial is to learn whether an artificial intelligence-enhanced electrocardiogram (AI-ECG) strategy improves timely intervention of patients requiring cardiac implantable electronic devices (CIEDs), compared with standard clinical care.

Key facts

Study ID

NCT07217236

Run by

National Defense Medical Center, Taiwan

People needed

11492

Starts

2025-11-01

Expected to finish

2026-10-31

Last updated by the study team

2025-12-12

Who can join

Age: 65 and older, up to 90. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• At least one 12-lead ECG within 1 year

You may not qualify if…

• Diagnosis of sick sinus syndrome
• Diagnosis of high-grade or complete atrioventricular block
• Diagnosis of ventricular tachycardia or ventricular fibrillation
• Post CIED implant
• Heart rate below 40 beats per minute by 12-lead ECG

Where it is running

• Tri-Service General Hospital — Taipei, Taiwan (enrolling)

Full record on ClinicalTrials.gov

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