AI-powered ECG to help diagnose and locate tachycardia in patients with PSVT, WPW, PVC, or VT

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This multicenter observational registry develops and validates an artificial intelligence–driven ECG algorithm to detect cardiac abnormalities and predict clinical outcomes after EPS and catheter ablation in adults with tachycardia-related conditions. The study uses encrypted raw 12-lead ECG data converted to text and deep neural networks to assess diagnostic accuracy and localization. It aims to apply the AI-enhanced ECG approach to real-world clinical data for prognostic insight in arrhythmia management. The research builds on retrospective data without an interventional experimental treatment, focusing on algorithm performance and potential clinical utility. Lead sponsor is Inha University Hospital, with participation at that center only.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Age 19 years or older
* Diagnosis of one of the following arrhythmias: paroxysmal supraventricular tachycardia (PSVT), Wolff-Parkinson-White (WPW) syndrome, premature ventricular contractions (PVC), or ventricular tachycardia (VT)
* Underwent an electrophysiological study (EPS) and catheter ablation
* Available 12-lead electrocardiogram (ECG) records that can be extracted as text (XML) files

Exclusion Criteria:

* Inadequate ECG data quality, as judged by the investigator
* Missing medical records required for the study, as judged by the investigator

Where it's running

• Inha University Hospital
  Incheon, Incheon, South Korea Recruiting

Study contacts

• Study coordinator: Yongsoo Baek, MD, PhD
• Email: existsoo@inha.ac.kr
• Phone: +82-32-890-2200

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.