Detection of Aortic Stenosis With Smartphone Auscultation Using Machine Learning (HEARTBEAT-Pilot)

Severe aortic stenosis, a common heart valve issue, is usually treated surgically or through intervention. Diagnosis typically occurs after symptoms appear, but research suggests already treating asymptomatic cases may help patients live longer. Current diagnostics using echocardiography are detailed but time-consuming, prompting the exploration of a smartphone application using built-in microphones and machine learning for quicker and more accessible screening.

NCT Number	NCT06404437
Lead Sponsor	Friedrich-Alexander-Universität Erlangen-Nürnberg Collaborators: University of Erlangen-Nürnberg Medical School, University Hospital Erlangen
Conditions	Aortic Valve Stenosis
Enrollment	100 participants
Start Date	2023-03-09
Primary Completion	2024-05-22 (estimated)
Study Completion	2026-03-01 (estimated)
Updated on ClinicalTrials.gov	2025-12-24