Smartwatch AI could spot hidden heart condition

NCT ID NCT07291570

First seen Jun 27, 2026 · Last updated Jul 16, 2026 · Updated 2 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.

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.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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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.

Contacts and locations

Locations

  • Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust

    London, London, UB9 6JH, United Kingdom

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