AI listens for heart failure warning signs in your voice and cough

NCT ID NCT06555757

Recruiting now Diagnosis Sponsor: Cambridge University Hospitals NHS Foundation Trust Source: ClinicalTrials.gov ↗

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is testing whether artificial intelligence can spot early signs of worsening heart failure by analyzing changes in a patient's voice, cough, and breathing sounds. Researchers will enroll 250 adults with chronic heart failure to record sounds and compare them with standard tests. The goal is to create a non-invasive early warning tool that could help patients avoid emergency hospital visits.

What this could mean

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

Active substance: AI sound analysis algorithm
What this could lead to: If successful, this could provide an early warning system for heart failure patients, allowing quicker treatment and fewer emergency hospital stays.
What could go wrong: This is an early-stage study with only 250 participants, so the AI may not work as well in real-world settings. The technology is still being developed and needs further validation.

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Conditions

The condition(s) this trial relates to.

advanced heart failure heart failure

As listed by the trial registrant

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

HEART FAILURE

Contacts and locations

Locations

Cambridge University Hospitals NHS Foundation Trust
RECRUITING

Cambridge, Cambridgeshire, CB2 0QQ, United Kingdom

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