Your phone could soon spot a hidden heart condition

NCT ID NCT07154303

ENROLLING_BY_INVITATION Diagnosis Sponsor: The University of Hong Kong Source: ClinicalTrials.gov ↗

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests whether smartphone sensors and AI can accurately detect atrial fibrillation (AF), a common heart rhythm disorder. Researchers will collect heart sounds, one-lead ECGs, and facial blood flow data from 209 adults with and without AF. The goal is to see if these smartphone-based methods can match the gold-standard 12-lead ECG in identifying AF.

What this could mean

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

Active substance: Computer algorithms (ausculto®, Vitogram®, FacialAI)
What this could lead to: If successful, this could enable people to screen for atrial fibrillation using just their smartphone, potentially catching the condition earlier.
What could go wrong: This is an early diagnostic study, not a treatment trial. The AI may not be accurate enough in real-world settings, and results may not apply to all smartphone models or users.

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.

atrial fibrillation

As listed by the trial registrant

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

ATRIAL FIBRILLATION (AF)

Contacts and locations

Locations

Queen Mary Hospital

Hong Kong, China

More trials for these conditions

Other studies related to the condition(s) this trial covers.