AI could take the guesswork out of exercise stress tests

NCT ID NCT07534384

Not yet recruiting Knowledge-focused Sponsor: KU Leuven Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study will test a computer algorithm that automatically interprets cardiopulmonary exercise tests (CPETs), which measure how well the heart and lungs work during exercise. Researchers will compare the algorithm's reports to those of expert doctors to see if they agree. The study involves 600 patients and experts from multiple centers, aiming to improve consistency and confidence in test results.

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 faster, more consistent interpretation of exercise tests, helping doctors diagnose heart and lung issues more reliably.

What could go wrong

This is an early-stage observational study, not a treatment trial. The algorithm may not improve agreement among experts or may not work well in all clinics.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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As listed by the trial registrant

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

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • AZORG

    Aalst, 9300, Belgium

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact

  • UZ Leuven

    Leuven, 3000, Belgium

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact