AI-Powered wearables could warn of heart attacks before they happen

NCT ID NCT07496931

Not yet recruiting Diagnosis Sponsor: Beijing Anzhen Hospital Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study aims to create a risk prediction model for acute myocardial infarction (heart attack) using artificial intelligence and wearable devices. Researchers will enroll 3,000 high-risk patients in the Beijing area and collect data from ECGs and other sources. The goal is to enable early warning and faster treatment, potentially reducing heart-related deaths.

What this could mean

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

Active substance: Acute Myocardial Infarction Risk Prediction Model (diagnostic test using AI and wearable devices)
What this could lead to: If successful, this could lead to a tool that predicts heart attacks early, helping patients seek care sooner and reducing deaths.
What could go wrong: This is an early-stage model-building study, not yet testing a treatment. The model may not work as expected in real-world settings or may not improve outcomes.

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.

acute myocardial infarction

As listed by the trial registrant

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

ACUTE MYOCARDIAL INFARCTION (AMI)

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