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Smartphone heart check: could your phone save your life?

NCT ID NCT07284550

Diagnosis Sponsor: Medical University Innsbruck 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study explores whether a smartphone can detect aortic valve stenosis, a serious heart condition, by recording heart sounds and chest vibrations. Researchers will compare smartphone data with standard echocardiograms in 500 patients. If accurate, this could lead to a simple, at-home screening tool for early detection.

What this could mean

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

Active substance
Smartphone-based signal acquisition (diagnostic test)
What this could lead to
If successful, this could provide a simple, low-cost way to screen for aortic valve stenosis at home using a smartphone, enabling earlier detection and treatment.
What could go wrong
This is an early-stage study with 500 participants. The smartphone algorithm may not be accurate enough for widespread use, and results may not apply to all populations or device types.

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 500 people

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

Started

Jan 2026

Expected to finish

Nov 2029

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

The SMART-VALVE project is a single-centre, proof-of-concept study. The study will be conducted in 2 stages. In stage 1, data will be collected to develop and validate an ML-based aortic stenosis classification algorithm. In stage 2, the developed algorithm is tested against newly acquired data from previously unseen participants. In stage 1, a total of 300 participants will be recruited for training and validation from clinical populations with moderate-to severe AS (group I) and a control group without significant Valvular Heart Disease (group II). Individuals in the control group will be matched to the AS patient group based on age, gender, and BMI (see Figure 5). The collected sensor data will be analysed to extract and engineer features and identify potential digital biomarkers indicative of aortic stenosis. AI algorithms will be applied to these datasets to develop predictive models for the classification of AS patients and individuals based on the recorded si

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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.

The following inclusion and exclusion criteria will be used for training, validation and test sets: Inclusion criteria for group I (moderate to severe AS): * Moderate to severe AS defined as AVA ≤ 1.5cm² in echocardiographic assessment * No other significant VHD, valvular prosthesis, pacemaker or congenital heart defect * Documented echocardiography as part of routine clinical practice no older than 90 days * Patient age ≥ 18 years * Provided written informed consent Inclusion criteria for group II: * No significant VHD, valvular prosthesis, pacemaker or congenital heart defect * Documented echocardiography as part of routine clinical practice no older than 90 days * Patient age ≥ 18 years * Provided written informed consent Exclusion criteria (applicable for all groups): • Informed consent form not signed.

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Conditions

The condition(s) this trial relates to.

aortic valve stenosis

As listed by the trial registrant

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

Aortic valve stenosis Artifical intelligence

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

  • Department of Internal Medicine III

    RECRUITING

    Innsbruck, 6020, Austria

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