Can AI-Powered stethoscopes spot hidden heart problems?

NCT ID NCT07202104

Terminated Diagnosis Sponsor: Eko Devices, Inc. Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jul 16, 2026 · Updated 2 times

Summary

This study is testing whether a machine learning algorithm can accurately detect heart murmurs that point to structural heart disease. Researchers will record heart sounds from 125 adults using two different digital stethoscopes and compare the algorithm's findings to standard echocardiograms. If the algorithm works well, it could help doctors identify heart problems more quickly and easily.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: Eko CORE 500 and 3M Littmann CORE digital stethoscopes
What this could lead to: If successful, this could lead to a more accurate, non-invasive way to detect heart murmurs using digital stethoscopes, potentially reducing the need for unnecessary echocardiograms.
What could go wrong: This is a small, early-stage study (125 participants) focused on algorithm improvement, not a treatment. The algorithm may not perform well enough in real-world settings or across diverse patient groups.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for STRUCTURAL HEART DISEASE are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

heart disorder

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

STRUCTURAL HEART DISEASE

Contacts and locations

Locations

Cox Medical Centers

Springfield, Missouri, 65807, United States

More trials for these conditions

Other studies related to the condition(s) this trial covers.