Back to Results

Automated Screening for Aortic Stenosis

Title Validation of System for Automated Screening for Aortic Stenosis
Therapeutic Area Aortic Stenosis, Structural Heart Disease
Principal Investigator Benjamin Wessler
Min Age 65 Years
Gender Any
Contact Benjamin Wessler


Aortic stenosis (AS) affects over 12.6 million adults and causes an estimated 102,700 deaths annually. There is interest in novel approaches to identify valve disease earlier the disease course before symptoms occur. We previously used machine learning (ML) to develop a system for fully automated AS screening. Here we are validating the performance of this new method for identifying AS.

Study Details

Inclusion Criteria

  • Age > 65 years
  • Referred for clinically indicated transthoracic echocardiography

Exclusion Criteria

  • Age < 65 years
  • Prior valve replacment procedure

Study Requirements

The study design involves 10 minutes of additional image acquisition after a routine transthoracic echocardiography. Point of care ultrasound (POCUS) data acquisition is non-invasive and by design appropriate for population screening. The acquisition will be similar to the imaging exam that was just completed (as part of routine care) but with a different device (Butterfly IQ+ device). This is a commercially available POCUS device. The POCUS imaging will be saved, encrypted, and uploaded to a HIPAA compliant cloud in standard fashion for automated analysis.