AI takes on heart scans: could slash waiting times?
NCT ID NCT06061822
First seen May 17, 2026 · Last updated Jun 22, 2026 · Updated 6 times
Summary
This study tests whether artificial intelligence can plan cardiac MRI scans as accurately as expert radiographers. 150 adults will receive both an AI-planned and a standard scan, and doctors will compare the image quality and time taken. If successful, AI could help reduce long waiting lists for heart imaging.
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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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Imperial College Healthcare NHS Trust
RECRUITINGLondon, United Kingdom
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.
Active substance
AI-assisted cardiac magnetic resonance imaging
What this could lead to
If successful, this could make heart scans faster and more widely available, reducing long wait times for patients.
What could go wrong
This is a small, early-stage study (150 participants) comparing AI to human experts. The AI may not match expert quality in all cases, and results may not apply to all hospitals.
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.