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Can Smartphones Listen to Your Heart? A Performance Study on Detecting Inborn Heart Diseases in Your Heart Sounds

NCT07376785 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 220

Last updated 2026-06-23

No results posted yet for this study

Summary

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.

Conditions

  • Congenital Heart Disease (CHD)

Interventions

DIAGNOSTIC_TEST

Computer algorithms

Collection of lightweight computer algorithms called ausculto™ that is designed to perform real-time heart sound analysis to detect heart murmur.

Sponsors & Collaborators

  • Laboratory of Data Discovery for Health

    collaborator INDIV

  • The University of Hong Kong

    lead OTHER

Eligibility

Min Age
6 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-05-26
Primary Completion
2026-09-30
Completion
2026-11-30

Countries

  • Hong Kong

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07376785 on ClinicalTrials.gov