AI-Powered smartwatch ECG could spot hidden heart failure at home
NCT ID NCT07488052
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study will enroll 5,000 adults across five hospitals in Taiwan to see if an artificial intelligence program can accurately detect low heart pumping function and structural heart disease using a single-lead ECG recorded from devices like an Apple Watch. Participants will have their ECG analyzed by the AI and then undergo a standard echocardiogram within 30 days to check the AI's accuracy. The goal is to validate a simple, home-based screening tool for heart failure.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- Artificial intelligence software analyzing single-lead ECG recordings from Apple Watch and QOCA ECG102D devices
- What this could lead to
- If successful, this could provide a simple, home-based screening tool to detect heart failure early, potentially reducing the need for in-hospital tests.
- What could go wrong
- This is an observational study, not a treatment trial. The AI model may not be accurate enough for widespread use, and results may not apply outside Taiwan.
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 5,000 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Mar 2026
- Expected to finish
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Sep 2026
An estimate. End dates often move.
- Lead sponsor
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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
Consecutive adult participants undergoing model-compatible single-lead ECG acquisition and paired echocardiographic assessment at five participating hospitals (Taipei Medical University WanFang Hospital; Far Eastern Memorial Hospital; Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation; Chi Mei Medical Hospital; and China Medical University Hospital) in Taiwan during the prospective enrollment period.
- Ages
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20 to 90 years
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
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: * Age 20 years or older * Single-lead ECG recorded using a study-compatible device * Ability to comply with study procedures and, when applicable, provide informed consent according to local institutional review board (IRB) requirements * No transthoracic echocardiography performed within 90 days before the index ECG Exclusion Criteria: * ECG signal quality insufficient for prespecified AI analysis * No transthoracic echocardiography available within 30 days after the index ECG * Echocardiography unavailable or technically inadequate for determining left ventricular ejection fraction (EF)
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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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Taipei Medical University WanFang Hospital; Far Eastern Memorial Hospital; Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation; Chi Mei Medical Hospital; and China Medical University Hospital
RECRUITINGTaipei, 114, Taiwan
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