Heart attack warning? new AI reads ECG to predict One-Year death risk
NCT ID NCT07659262
First seen Jun 23, 2026 · Last updated Jun 23, 2026
Summary
This study tested an artificial intelligence system that analyzes a standard 10-second heart tracing (ECG) to predict a person's risk of dying from heart disease within the next year. Researchers used data from over 460,000 adults across three hospitals in Taiwan. The goal was to see if the AI could accurately flag high-risk patients, potentially helping doctors provide earlier care.
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This is a summary of
the original study
.
Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Locations
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Kaohsiung Armed Forces General Hospital
Kaohsiung City, 807, Taiwan
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Taipei Municipal Wanfang Hospital
Taipei, 114, Taiwan
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Tri-Service General Hospital
Taipei, 114, Taiwan
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 device)
What this could lead to
If validated, this AI 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 was a retrospective study using historical data, so real-world performance may differ. The AI is a decision-support tool, not a treatment, and its accuracy depends on data quality.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.