Smartwatch AI could spot hidden heart condition
NCT ID NCT07291570
First seen Jan 07, 2026 · Last updated Jun 23, 2026 · Updated 29 times
Summary
This study will test whether an artificial intelligence (AI) program can accurately detect atrial fibrillation (AF) using data from consumer smartwatches. Researchers will enroll 40 adults with AF who will wear a smartwatch while their heart rhythm is also monitored with standard devices. The goal is to develop a non-invasive, continuous monitoring method that could lead to earlier diagnosis and better management of AF.
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This is a summary of
the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust
London, London, UB9 6JH, United Kingdom
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
AI algorithm using PPG-derived data from a wearable device
What this could lead to
If successful, this could lead to a non-invasive, continuous way to detect atrial fibrillation early using consumer smartwatches, potentially reducing strokes and hospital visits.
What could go wrong
This is a small, early-stage study with only 40 participants. The AI algorithm may not be accurate enough in real-world settings, and results may not apply to all types of atrial fibrillation.
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.