AI could help doctors decode exercise tests faster
NCT ID NCT07534384
First seen Apr 23, 2026 · Last updated Jun 23, 2026 · Updated 6 times
Summary
This study will check if a computer algorithm can accurately interpret cardiopulmonary exercise tests (CPETs), which measure how well the heart and lungs work during exercise. Researchers will compare the algorithm's readings to those of expert doctors. The goal is to see if automation can make interpretations more consistent and reliable. The study involves 600 patients and experts from multiple centers.
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This is a summary of
the original study
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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.
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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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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AZORG
Aalst, 9300, Belgium
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
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UZ Leuven
Leuven, 3000, Belgium
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
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 conditions more reliably.
What could go wrong
This is an early observational study, not a treatment trial. The algorithm may not improve accuracy or may not be adopted widely in clinical practice.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.