AI-Powered ECG could cut unnecessary heart tests

NCT ID NCT07757425

Not yet recruiting Diagnosis Sponsor: Jamil Mayet Source: ClinicalTrials.gov ↗

First seen Aug 11, 2026 · Last updated Aug 12, 2026 · Updated 1 time

Summary

This trial is testing whether an artificial intelligence-enhanced electrocardiogram (AI-ECG) can help doctors quickly and safely identify which people with non-cardiac chest pain are truly low risk. Half of the participants will receive the AI-ECG in addition to standard care, while the other half will receive standard care alone. The study aims to see if the AI-ECG can reduce unnecessary tests, lower healthcare costs, and speed up diagnosis and reassurance, without compromising patient safety.

What this could mean

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

Active substance: AI-enhanced electrocardiogram (AI-ECG) as a diagnostic test
What this could lead to: If effective, this AI-ECG pathway could reduce unnecessary invasive tests, lower healthcare costs, and provide faster reassurance for many patients with chest pain.
What could go wrong: The AI-ECG is still experimental and may not be as accurate in real-world settings. There is also a risk that relying on it could miss some heart problems, and the trial's results may not apply to all populations.

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.

Angina, Stable intermediate coronary syndrome

As listed by the trial registrant

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

ANGINA (STABLE) CHEST PAIN ATYPICAL SYNDROME

Contacts and locations

Locations

Imperial College NHS Healthcare Trust

London, London, United Kingdom
London North West University Healthcare NHS Trust

London, United Kingdom

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