AI could make heart attack risk detection safer and smarter
NCT ID NCT04193475
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study aims to improve how doctors interpret stress echocardiograms—ultrasounds of the heart during exercise—by using machine learning. Researchers will analyze data from 1,250 patients to develop more accurate tools for detecting blocked arteries and heart attack risk. The goal is to reduce the need for invasive follow-up tests and help doctors choose the best treatment for each patient.
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 make stress echocardiograms more accurate, helping doctors identify heart disease risk earlier and reducing the need for invasive procedures.
What could go wrong
This is an observational study developing new analysis methods, not testing a treatment. The machine learning tools may not prove reliable enough for routine clinical use.
Disclaimer
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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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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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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: •••••@•••••