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

NCT06749132 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 210

Last updated 2026-05-08

No results posted yet for this study

Summary

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.

Conditions

  • Aortic Stenosis

Interventions

DIAGNOSTIC_TEST

Transthoracic echocardiogram

All study participants will undergo a clinical transthoracic echocardiogram (TTE) performed by certified echocardiography technicians. The TTE includes standard transthoracic examination with acquisition of B-mode, color and spectral Doppler images and videos in line with standard echocardiographic guidelines.

Sponsors & Collaborators

  • National Institute on Aging (NIA)

    collaborator NIH

  • Icahn School of Medicine at Mount Sinai

    collaborator OTHER

  • The Methodist Hospital Research Institute

    collaborator OTHER

  • Yale University

    lead OTHER

Principal Investigators

  • Rohan Khera, MD, MS · Yale University

Eligibility

Min Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-05-06
Primary Completion
2028-08-31
Completion
2028-08-31

Countries

  • United States

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06749132 on ClinicalTrials.gov