Clinical Research Directory
Browse clinical research sites, groups, and studies.
Deep Learning Enhanced Detection of Aortic Stenosis - The DETECT-AS-Diagnostic Study
Sponsor: Yale University
Summary
The DETECT-AS Diagnostic Study will assess the performance of artificial intelligence (AI) risk predictions to detect aortic stenosis using results from portable electrocardiogram (ECG) and cardiac ultrasound devices.
Key Details
Gender
All
Age Range
70 Years - Any
Study Type
INTERVENTIONAL
Enrollment
410
Start Date
2025-09-16
Completion Date
2028-08-31
Last Updated
2025-11-26
Healthy Volunteers
Yes
Conditions
Interventions
Portable 1-lead electrocardiogram
Portable 1-lead electrocardiogram (ECG) performed with the FDA-approved AliveCor KardiaMobile device.
Point-of-care ultrasound
Point-of-care ultrasound performed with the FDA-approved VScan Air device.
AI-ECG risk algorithm
Artificial intelligence (AI) risk algorithm for aortic stenosis using a 1-lead electrocardiogram
AI-POCUS
Artificial intelligence (AI) risk algorithm for aortic stenosis using cardiac ultrasound plax videos.
Locations (3)
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