Sound wave scanner could help ER doctors spot heart trouble in minutes
NCT ID NCT07653204
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study will test a non-invasive device called ADx-One that uses airborne ultrasound to capture chest vibrations. Researchers aim to develop a computer algorithm that can tell if a patient's chest pain or shortness of breath is due to a heart problem or something else. The study will enroll 2,500 adults in French emergency departments, but the device will not change their usual care.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- ADx-One medical device (airborne ultrasound)
- What this could lead to
- If successful, this device could help emergency doctors quickly and accurately identify whether chest pain or shortness of breath is caused by a heart problem, speeding up treatment.
- What could go wrong
- This is an early-stage study to develop an algorithm, not a final test. The device is not yet proven to work, and it will not change patient care during the trial.
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
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About 2,500 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Sep 2026
An estimate. Start dates often move.
- Expected to finish
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May 2027
An estimate. End dates often move.
- Lead sponsor
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A company
The lead sponsor is a pharmaceutical, biotech, or medical-device company.
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 presenting to the emergency department for one or more of the following symptoms of less than 14 days' duration: acute non-traumatic dyspnea, or recent worsening of chronic dyspnea, or non-traumatic chest pain.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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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 Hide 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: * Presentation to the emergency department for one or more of the following symptoms of less than 14 days' duration: acute non-traumatic dyspnea, or recent worsening of chronic dyspnea, or non-traumatic chest pain. * Patient able to sit on a chair or on the edge of the bed * Affiliation to national health insurance * Able to receive study information, understand the study, and provide written informed consent Exclusion Criteria: * • Immediate need for life-saving intervention or clinical instability incompatible with study procedures. * Shock or severe hemodynamic instability, for example systolic blood pressure \<90 mmHg for at least 30 minutes or associated signs of hypoperfusion. * Altered mental status or any condition preventing provision of valid informed consent. * Known cognitive impairment preventing informed consent. * Transfer to another care site before the ADx-One acquisition can be performed. * Known pregnancy * Minor, legally protected adult, or person deprived of liberty. * Participation in another interventional clinical study judged incompatible with this study.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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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
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La Pitié-Salpêtrière
Paris, 75013, France
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Other studies related to the condition(s) this trial covers.
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- A quick scoring tool may help emergency call centers spot the most dangerous chest pain cases
- Can an AI chatbot help ER doctors spot serious chest pain faster?