Can artificial intelligence predict heart valve disease progression?

NCT ID NCT06749132

ENROLLING_BY_INVITATION Knowledge-focused Sponsor: Yale University Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study will enroll 210 adults aged 65 and older with early aortic stenosis (a heart valve narrowing) to see if an artificial intelligence tool can better predict how fast the disease worsens. Participants will have standard echocardiograms, and researchers will compare the AI's risk score to actual changes over time. The goal is to improve personalized monitoring and timing of potential treatments.

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 a more accurate way to monitor aortic stenosis progression, helping doctors decide when to intervene before symptoms worsen.
What could go wrong: This is an observational study, not a treatment trial. The AI tool may not prove reliable enough for widespread use, and results may not apply to all patient groups.

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.

aortic valve calcification aortic valve stenosis

As listed by the trial registrant

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

AORTIC STENOSIS

Contacts and locations

Locations

Icahn School of Medicine at Mount Sinai

New York, New York, 10029, United States
The Methodist Hospital Research Institute

Houston, Texas, 77030, United States
Yale New Haven Health System

New Haven, Connecticut, 06519, United States

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