AI trained on 127,000 ECGs to predict deadly heart rhythms

NCT ID NCT07644715

Recruiting now Knowledge-focused Sponsor: Groupe Hospitalier Pitie-Salpetriere Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study is not testing a drug or treatment. Instead, researchers are using artificial intelligence to analyze electrocardiogram (ECG) data from over 127,000 people. The goal is to create computer models that can quickly and accurately predict life-threatening heart rhythm problems, such as long QT syndrome and heart inflammation caused by certain cancer drugs. The AI tools are being developed for research purposes only and will not be used to guide patient care during the study.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could lead to AI tools that help doctors quickly spot dangerous heart rhythms from ECGs, potentially saving lives.
What could go wrong: This is an early research study using existing data, not a treatment trial. The AI models may not work well in real-world settings or on all patients.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

Arrhythmias, Cardiac cardiac rhythm disease long QT syndrome

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

ARRHYTHMIA IMMUNE CHECKPOINT INHIBITOR-RELATED MYOCARDITIS LONG QT SYNDROME

Contacts and locations

Locations

CIC-2503
RECRUITING

Paris, 75013, France

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