Using AI to detect heart rhythm disorders from ECGs
Development of an Artificial Intelligence Algorithm to Detect Pathological Repolarization Disorders on the ECG and the Risk of Ventricular Arrhythmias
Assistance Publique - Hôpitaux de Paris · NCT05829993
This study is testing a new AI tool that looks at ECGs to see if it can better identify types of Long QT syndrome and the risk of dangerous heart rhythms for patients.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 5000 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Assistance Publique - Hôpitaux de Paris (other) |
| Locations | 1 site (Paris) |
| Trial ID | NCT05829993 on ClinicalTrials.gov |
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.
Who should consider this trial
Good fit: Ideal candidates include adults aged 18 and older who require an ECG for clinical evaluation.
Not a fit: Patients with medical contraindications for ECG or those with pacemaker-driven QRS may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to improved detection and risk assessment of life-threatening heart rhythm disorders, potentially saving lives.
How similar studies have performed: Other studies utilizing AI for ECG analysis have shown promising results, indicating that this approach may be effective.
Eligibility criteria
Show full inclusion / exclusion criteria
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 this trial is running
Paris
- 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
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Cardiac Disease, Ventricular Arrythmia, Artificial intelligence, ECG, Repolarization, QT, Ventricular arrhythmias