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AI predicts heart attack aftermath: new model spots hidden risks

NCT ID NCT07277400

Not yet recruiting Knowledge-focused Sponsor: Qian geng Source: ClinicalTrials.gov ↗

First seen Jan 09, 2026 · Last updated May 20, 2026 · Updated 20 times

Summary

This study aims to create an artificial intelligence tool that combines heart MRI scans and patient data to predict long-term risks like another heart attack or heart failure. Researchers will enroll 800 people who had a specific type of heart attack (STEMI) and follow them for several years. The goal is to help doctors identify high-risk patients earlier so they can receive more timely 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.

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Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Chinese PLA General Hospital

    Beijing, Beijing Municipality, 100853, China

Conditions

Explore the condition pages connected to this study.