Deep Learning-enhanced Personalized Monitoring of Aortic Stenosis - The DETECT-AS Prognostic Study

Enrolling by invitation

Conditions studied: Aortic Stenosis

In brief

This study will evaluate the validity of a digital biomarker score for precision risk stratification among older adults with aortic sclerosis or mild aortic stenosis (AS) at three US health systems.

Key facts

Study ID

NCT06749132

Run by

Yale University

People needed

210

Starts

2026-05-06

Expected to finish

2028-08-31

Last updated by the study team

2026-05-08

Who can join

Age: 65 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Age 65 years or older
• Prior transthoracic echocardiogram within the past 2-3 years showing aortic sclerosis without stenosis or mild AS

You may not qualify if…

• Opted out of research studies
• Non-English speaking
• Any echocardiogram within 24 months of medical record review.
• Prior history of aortic valve replacement or repair, including transcatheter and surgical AVR with either a bioprosthetic or mechanical valve
• Presence of implantable cardiac devices, including permanent cardiac pacer, implantable cardioverter-defibrillator, or left ventricular assist device
• Prior heart transplant
• History of dementia
• Unable to attend study visit at echocardiogram lab within four years of most recent echocardiogram.
• Documented life expectancy of <1 year or current participation in hospice services

Where it is running

• Yale New Haven Health System — New Haven, Connecticut, United States
• Icahn School of Medicine at Mount Sinai — New York, New York, United States
• The Methodist Hospital Research Institute — Houston, Texas, United States

Full record on ClinicalTrials.gov

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