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Artificial Intelligence System for Early Warning of Adverse Events in Acute Myocardial Infarction

NCT07139860 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1400

Last updated 2025-08-24

No results posted yet for this study

Summary

The goal of this observational study is to learn about the effectiveness of an artificial intelligence-based early warning system for predicting adverse events in patients with acute myocardial infarction (AMI). The main question it aims to answer is:

Does an AI-based early warning system improve the assessment and prediction of adverse events across the full course of AMI care (from prevention to diagnosis, treatment, and rehabilitation)?

Participants who are receiving routine medical care for AMI in tertiary hospitals will have their multimodal medical data (clinical records, diagnostic tests, imaging, treatment pathways) collected and analyzed. Data will be integrated using innovative cross-modal representation methods and predictive models. The study will follow patients during their hospital stay and subsequent clinical follow-up to evaluate the feasibility, accuracy, and clinical value of the AI-based early warning system.

Conditions

  • Acute Myocardial Infarction With ST Elevation
  • Intelligent Management Platform
  • Early Warning

Sponsors & Collaborators

  • Hui Chen

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-11-26
Primary Completion
2026-12-31
Completion
2026-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07139860 on ClinicalTrials.gov