AI reads blood flow to predict if heart stents will work

NCT ID NCT07724184

Recruiting now Knowledge-focused Sponsor: Aalborg University Hospital Source: ClinicalTrials.gov ↗

First seen Jul 23, 2026 · Last updated Jul 24, 2026 · Updated 1 time

Summary

This study tests whether a machine learning model can predict the outcome of a common heart procedure — placing a stent to open a hardened, calcified artery. Researchers will measure blood flow and pressure before and after the procedure in 100 adults with coronary artery disease. The goal is to see if the AI can accurately forecast whether the stent successfully restores blood flow.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: machine learning model integrating coronary flow and pressure measurements
What this could lead to: If successful, this AI tool could help doctors predict which patients will benefit most from coronary stenting, potentially improving outcomes and reducing repeat procedures.
What could go wrong: This is a small, early-stage study focused on data analysis, not a treatment. The AI model may not generalize to broader populations or different hospital settings.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

coronary artery disorder myocardial ischemia

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

CORONARY ARTERIAL DISEASE (CAD) ISCHEMIC HEART DISEASE (IHD) PERCUTANEOUS CORONARY INTERVENTION (PCI)

Contacts and locations

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Study contacts

Contact

Phone: •••-•••-•••• Email: •••••@•••••

Locations

Aalborg University Hospital
RECRUITING

Aalborg, Denmark

Contact Phone: •••-•••-•••• Email: •••••@•••••

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