Can Smartphones Listen to Your Heart? A Performance Study on Detecting Inborn Heart Diseases in Your Heart Sounds (AUSC-CHD)

The University of Hong Kong (HKU)

Status: Not yet enrolling

Conditions: Congenital Heart Disease (CHD)

Treatments: Diagnostic Test: Computer algorithms

Study type: Observational

Funder types: Other

Identifiers

NCT07376785

AUSC-CHD

UW 25-328 (Other Identifier)

Details and patient eligibility

About

This observational study aims to assess the performance of the software called ausculto™. ausculto™ is a collection of computer algorithms that intend to analyse heart sounds recorded from the built-in microphone of a smartphone for abnormal sounds.

Participants will have their heart sounds recorded during their normal attendance at the hospitals after consenting to participate in this study.

Researchers will manually annotate the recorded heart sounds to create a database for use in future training and testing of artificial intelligence (AI) intended for medical uses.

Enrollment: 220 estimated patients

Sex: All

Ages: 6+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Age: ≥ 6 years
• Have undergone echocardiography within 3 years at their normal non-research hospital attendance

Exclusion criteria

• Implanted active medical devices in the torso, such as pacemakers and defibrillators
• Have purely non-congenital valvular heart disease

Trial design

220 participants in 2 patient groups

Abnormal Echocardiography Diagnosis

Description:

Participants with abnormal echocardiography diagnosis within three years.

Treatment:

Diagnostic Test: Computer algorithms

Normal Echocardiography Diagnosis

Description:

Participants with normal echocardiography diagnosis within three years.

Treatment:

Diagnostic Test: Computer algorithms