Heart attack prediction breakthrough? new AI reads ECG to spot artery blockages
NCT ID NCT07375810
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study will test a computer algorithm called ECGio that analyzes electrocardiograms (ECGs) to see if it can accurately detect significant coronary artery disease (blockages in heart arteries). Researchers will compare ECGio's results to standard imaging tests like angiograms and CT scans in about 978 adults suspected of having heart disease. If successful, ECGio could offer a faster, non-invasive way to diagnose artery blockages.
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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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Cena Research Institute
Houston, Texas, 77055, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
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Medstar Washington Hospital Center
Washington D.C., District of Columbia, 20010, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
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