AI reads your Heart's future: new software predicts 1-Year mortality risk from a simple ECG

NCT ID NCT07659262

Completed Diagnosis Sponsor: National Defense Medical Center, Taiwan Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested an artificial intelligence software that analyzes a standard 10-second ECG to predict the risk of dying from heart disease within one year. Researchers reviewed ECG data from over 460,000 patients across three hospitals in Taiwan. The goal was to see if the AI could accurately identify high-risk patients, potentially helping doctors make better decisions about long-term care.

What this could mean

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

Active substance: Chang Gung ECG Mortality Risk Prediction Software (AI software analyzing ECG signals)
What this could lead to: If successful, this AI tool could help doctors quickly identify patients at high risk of dying from heart disease within a year, enabling earlier intervention.
What could go wrong: This is a retrospective study, not a prospective trial, so real-world performance may differ. The AI was tested only in Taiwan, so results may not apply to other populations.

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 ELECTROCARDIOGRAM are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

As listed by the trial registrant

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

ELECTROCARDIOGRAM MORTALITY RISK PREDICTION

Contacts and locations

Locations

Kaohsiung Armed Forces General Hospital

Kaohsiung City, 807, Taiwan
Taipei Municipal Wanfang Hospital

Taipei, 114, Taiwan
Tri-Service General Hospital

Taipei, 114, Taiwan

More trials for these conditions

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