Clinical trial Recruiting at 1 site Observational Ages 18 and up

Using daily voice recordings to spot pulmonary artery pressure changes in people with heart failure

Official title: Voice Analysis Using Artificial Intelligence to Detect Changes in Pulmonary Arterial Pressure in Patients With Heart Failure and an Implanted Pressure Sensor

Run by Noah Labs · NCT07443670 · Data updated 2026-11-12

We will test whether daily voice recordings from people with heart failure and implanted pulmonary artery pressure sensors can help an AI detect rises in lung blood pressure.

More Heart Failure trials

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment60 (estimated)
SponsorNoah Labs
Industry-sponsored
Locations3 sites (San Francisco, California and 2 other locations)
StatusRecruiting
StartedDecember 12, 2024
Main results expectedMay 2026
Study endsSeptember 2026
Registry record updatedMarch 2, 2026
Trial IDNCT07443670 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults with heart failure who already have an implanted PA pressure sensor, can read aloud in English or German, and can use a smartphone or tablet to record daily voice samples are ideal candidates.

Probably not a fit

People without implanted PA sensors, those with pathological voice changes, COPD on home oxygen, dialysis-dependent kidney failure, pregnancy, or inability to reliably use a smartphone are unlikely to benefit from this approach.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This is a prospective, multi-center observational study in which participants with implanted pulmonary artery (PA) pressure sensors provide daily voice recordings via a mobile app for 12 weeks while continuing standard PA pressure monitoring and heart failure care. Voice samples include sustained vowel sounds and a standardized reading passage and are collected on participants' smartphones or tablets. PA pressure readings obtained as part of routine care are paired with the voice data and analyzed retrospectively using classical machine learning and deep learning methods. The primary endpoint is the sensitivity and specificity of the AI-based voice analysis in detecting PA pressure changes at prespecified thresholds, and no clinical decisions are made based on voice results during the study.

Why it matters

Potential benefit: If successful, this approach could provide a low-cost, non-invasive way to detect pulmonary congestion earlier and reduce reliance on invasive sensors.

How similar studies have gone: Early research has suggested voice features can reflect respiratory and fluid status, but applying AI to detect PA pressure changes in patients with implanted sensors is a novel and not yet validated strategy.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Age 18 years or older
* Successful implantation of a PA pressure sensor and monitored by a participating study center
* Willingness to record a short predefined text daily for 3 months using a smartphone or tablet
* Ability to comfortably read aloud the study passage in English or German
* Written informed consent obtained

Exclusion Criteria:

* Pregnant, breastfeeding, or unwilling to practice birth control during participation
* Condition that in the opinion of the investigator would compromise patient safety or data quality
* Pathological voice changes due to surgery or injury
* Planned invasive cardiac procedures during the study period
* COPD requiring home oxygen therapy
* Chronic kidney disease requiring dialysis
* Cognitive dysfunction limiting ability to perform daily voice recording
* Inability to read English or German
* Physical inability to use the recording device

Where it's running

  • University of California, San Francisco (UCSF)
    San Francisco, California, United States
    Recruiting
  • BG Klinikum Unfallkrankenhaus Berlin, Dept. of Cardiology
    Berlin, State of Berlin, Germany
    Completed
  • University Hospital Frankfurt, Dept. of Cardiology and Angiology
    Frankfurt, Germany
    Completed

Study contacts

Similar studies

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.