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Study identifier: NCT05829993 Synced from ClinicalTrials.gov · July 29, 2026
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Development of an Artificial Intelligence Algorithm to Detect Pathological Repolarization Disorders on the ECG and the Risk of Ventricular Arrhythmias

Condition: Cardiac Disease · Ventricular Arrythmia  ·  Sponsor: Assistance Publique - Hôpitaux de Paris

PhaseN/A
Planned participants5000
Who can joinAll sexes, 18 Years to no upper limit
Healthy volunteersYes

About this study

Torsades de Pointes (TdP) are potentially fatal ventricular arrhythmias that are promoted by prolonged ventricular repolarization (Long QT, LQT). The different forms of LQT result from inhibition of cardiac potassium currents (IKr and IKs) or activation of a late sodium current (INaL). These alterations may be either congenital (3 types: cLQT-1: IKs, cLQT-2: IKr, cLQT-3: INaL) or drug-induced (diLQT, via inhibition of IKr). More than 100 medications have received marketing authorization despite a known risk of TdP, due to a favorable benefit-risk ratio (e.g., hydroxychloroquine). QTc, which represents the duration of ventricular repolarization (in milliseconds) - defined as the time from the beginning of the QRS complex to the end of the T wave, corrected for heart rate - is prolonged in all forms of LQT. Specific T-wave abnormalities, depending on the altered ion currents, have been described and can help differentiate the various types of congenital or drug-induced LQT. However, screening for LQT and TdP risk, both at the individual and population levels, currently relies mainly on isolated QTc evaluation and genetic testing, which often takes considerable time to return. Thus, limiting ECG analysis to QTc measurement alone offers low predictive value, as the ECG contains a wealth of additional information beyond a single interval. The investigator recently demonstrated that artificial intelligence (AI)-based ECG analysis using deep-learning convolutional neural netwo…

This description comes directly from the study's public registry record.

Talk to the study team

Joe-Elie SALEM, PU-PH  ·  0033 1 42 17 85 35  ·  joe-elie.salem@aphp.fr

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Locations (1)

Centre d'Investigation Clinique Paris-Est/Hôpital Pitié-SalpêtrièreParis, FranceRecruiting

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Source record: clinicaltrials.gov/study/NCT05829993