AI boosts heart attack prediction in routine scans
NCT ID NCT04193475
First seen Feb 21, 2026 · Last updated May 20, 2026 · Updated 10 times
Summary
This study aims to make stress echocardiography—a common heart test—more accurate by using machine learning to analyze the images. Researchers will enroll 1250 people to develop computer tools that measure heart function during stress, helping doctors spot those at risk of a heart attack more reliably. The goal is to reduce the need for invasive follow-up tests and improve patient care.
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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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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Castle Hill Hospital
RECRUITINGCottingham, HU165JQ, United Kingdom
Contact Email: •••••@•••••
Conditions
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