AI-Powered ECG could spare thousands from invasive heart tests

NCT ID NCT06387693

Recruiting now Diagnosis Sponsor: UMC Utrecht Source: ClinicalTrials.gov ↗

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

Summary

This study tests whether artificial intelligence and special ECG monitoring can improve diagnosis of angina in people whose arteries are not blocked. Researchers will use a Holter monitor at home and an internal ECG during a procedure to detect subtle signs of heart muscle strain. The goal is to make diagnosis more accurate and less invasive for the 40-70% of angina patients who have no major blockages.

What this could mean

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

Active substance: Holter monitoring and intracoronary ECG
What this could lead to: If successful, this could lead to a more accurate, non-invasive way to diagnose coronary vasomotor disorders, reducing the need for invasive tests.
What could go wrong: This is an early-stage diagnostic study with 250 participants. The AI and ECG methods may not prove accurate enough to replace current invasive procedures, and results may not apply to 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.

Angina, Stable coronary microvascular disorder intermediate coronary syndrome

As listed by the trial registrant

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

ANGINA (STABLE)

Contacts and locations

Locations

UMC Utrecht
RECRUITING

Utrecht, Netherlands

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