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.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for HEART FAILURE are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

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

  • 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

    RECRUITING

    Taipei, 114, Taiwan

More trials for these conditions

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