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

NCT ID NCT06555757

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

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

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

Study facts

What this study's own registry entry says, in plain language.

Participants

About 250 people

The number the study aims to enrol. It can still change while the study runs.

Started

Sep 2024

Expected to finish

Aug 2027

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Patients diagnosed with chronic stable heart failure NYHA Class 3 or 4.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Male or Female, aged 18 years or above. * Diagnosed with chronic stable heart failure NYHA Class 3 or 4 (either during most recent cardiology/heart failure clinic visit, or ADHF during recent/current hospitalization). * Participant is willing and able to give informed consent for participation in the study. * Participant has a smartphone device and can download a purposely designed mobile application on their phone (with guidance from the study investigators) or is willing to have sound recordings via a smartphone device loaned for the purpose of the study. Exclusion Criteria: * Unable to provide consent * Patients requiring continuous oxygen therapy at flow rates that cannot be provided through nasal cannula * Patients with currently known pneumonia * Patients with known significant pulmonary disease including asthma, COPD, pulmonary fibrosis/interstitial lung disease, pulmonary hemorrhage. * Patients with current Pulmonary embolus * Patients with other intercurrent acute symptomatic illness (e.g., viral/bacterial infection) at time of recording * Patients requiring continuous oxygen therapy at flow rates that cannot be provided through nasal cannula * Patients with tracheostomy or who have undergone a surgical procedure to the head/neck/larynx which would affect the normal functioning of the vocal cords. * Aphasic * Patients excluded at PI discretion

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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

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Cambridge University Hospitals NHS Foundation Trust

    RECRUITING

    Cambridge, Cambridgeshire, CB2 0QQ, United Kingdom

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