Deep Learning Enhanced Detection of Aortic Stenosis - The DETECT-AS-Diagnostic Study

NAEnrolling by invitationINTERVENTIONAL
Enrollment

410

Participants

Timeline

Start Date

September 16, 2025

Primary Completion Date

August 31, 2028

Study Completion Date

August 31, 2028

Conditions
Aortic Stenosis
Interventions
DIAGNOSTIC_TEST

Portable 1-lead electrocardiogram

Portable 1-lead electrocardiogram (ECG) performed with the FDA-approved AliveCor KardiaMobile device.

DIAGNOSTIC_TEST

Point-of-care ultrasound

Point-of-care ultrasound performed with the FDA-approved VScan Air device.

OTHER

AI-ECG risk algorithm

Artificial intelligence (AI) risk algorithm for aortic stenosis using a 1-lead electrocardiogram

OTHER

AI-POCUS

Artificial intelligence (AI) risk algorithm for aortic stenosis using cardiac ultrasound plax videos.

Trial Locations (3)

10029

Icahn School of Medicine at Mount Sinai, New York

77030

The Methodist Hospital Research Institute, Houston

06519

Yale New Haven Health System, New Haven

All Listed Sponsors
collaborator

National Institute on Aging (NIA)

NIH

collaborator

Icahn School of Medicine at Mount Sinai

OTHER

collaborator

The Methodist Hospital Research Institute

OTHER

lead

Yale University

OTHER