AI-Powered heart scans could sharpen diagnosis
NCT ID NCT07620457
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 2 times
Summary
This study will test whether a deep learning-based image reconstruction method can improve the quality of coronary CT scans. Researchers will look at existing scans from 200 patients who had a CT angiogram for suspected heart disease. Two radiologists will rate the images on a scale of 1 to 5 to see if the new method makes them clearer.
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 clearer heart CT scans, helping doctors diagnose coronary artery disease more accurately.
What could go wrong
This is an early observational study, not a treatment trial. The new image reconstruction may not improve diagnosis in practice.
Disclaimer
Read more
Show less
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.
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.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for CORONARY ARTERY DISEASE are added.
By submitting, you agree to our Terms of use
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
Show contact details
Enter your email to view the contact information for this study.
By submitting, you agree to our Terms of use
Study contacts
-
Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
-
Zhengzhou Universtidy 1st Affiliated Hospital
Zhengzhou, Henan, China
Contact Phone: •••-•••-•••• Email: •••••@•••••