Using AI to detect heart rhythm disorders from ECGs

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 study aims to validate an artificial intelligence model that analyzes ECGs to automatically measure various features and identify types of Long QT syndrome (LQT) and the associated risk of Torsade-de-Pointes (TdP). It focuses on the relationship between ventricular repolarization abnormalities and the risk of potentially fatal ventricular arrhythmias. By leveraging deep learning techniques, the study seeks to enhance the predictive capabilities of ECG analysis beyond traditional measurements. The research will be conducted in real-life cohorts across multiple departments of the Assistance Publique - Hôpitaux de Paris.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Age ≥ 18
* Patients or subjects taken care in recruiting centres for which an ECG is indicated
* No opposition to participation in the study

Exclusion Criteria:

* Medical contraindication for ECG
* Subjects with pacemaker-driven QRS

Where it's running

• Centre d'Investigation Clinique Paris-Est/Hôpital Pitié-Salpêtrière
  Paris, France Recruiting

Study contacts

• Principal investigator: Joe-Elie SALEM, PU-PH — Assistance Publique - Hôpitaux de Paris
• Study coordinator: Joe-Elie SALEM, PU-PH
• Email: joe-elie.salem@aphp.fr
• Phone: 0033 1 42 17 85 35

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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.