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

Last updated: August 22, 2025
Sponsor: Hui Chen
Overall Status: Active - Recruiting

Phase

N/A

Condition

Angina

Myocardial Ischemia

Cardiac Ischemia

Treatment

N/A

Clinical Study ID

NCT07139860
BFH2023063001
  • Ages > 18
  • All Genders

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.

Eligibility Criteria

Inclusion

Inclusion Criteria:

    1. Hospitalized patients who meet the diagnostic criteria for acute myocardialinfarction. 2. Patients who agree to participate and sign the informed consent form.

Exclusion

Exclusion Criteria:

    1. Patients with terminal malignant tumors and an expected survival time of lessthan 3 months. 2. Patients with complete disability and inability to communicate. 3.Patients unable to comply with follow-up.

Study Design

Total Participants: 1400
Study Start date:
November 26, 2022
Estimated Completion Date:
December 31, 2026

Connect with a study center

  • Beijing Friendship Hospital

    Beijing, 100050
    China

    Site Not Available

  • Beijing Friendship Hospital

    Beijing 1816670, 100050
    China

    Active - Recruiting

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