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

August 22, 2025 updated by: Hui Chen

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.

Study Overview

Status

Recruiting

Conditions

Study Type

Observational

Enrollment (Estimated)

1400

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

  • China
      • Beijing, China, 100050
        • Recruiting
        • Beijing Friendship Hospital
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

N/A

Sampling Method

Non-Probability Sample

Study Population

  1. Retrospective Study Population:

    Data were obtained from the Cardiovascular Center Database (CBDBank) of Beijing Friendship Hospital. CBDBank is a continuously collected sample dataset of patients with acute coronary syndrome since January 2013. A total of 1,000 patients with acute myocardial infarction admitted to Beijing Friendship Hospital, Capital Medical University, from January 2017 to December 2019 were included in the retrospective cohort. After discharge, all patients received scheduled telephone follow-ups at 1 month, 3 months, 6 months, and annually thereafter, with continuous follow-up for 3 years.

  2. Prospective Study Population:

A total of 800 patients with acute myocardial infarction admitted to the Cardiovascular Center of Beijing Friendship Hospital from July 2023 to July 2026 will be enrolled in the prospective cohort. Randomization will be performed using random codes, and prognosis prediction will be conducted using either the predictive system or traditional met

Description

Inclusion Criteria:

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

Exclusion Criteria:

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
BFH
group1
AZH
group2

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
MACCE
Time Frame: 1-3 years

Cardiac death

All-cause mortality

Malignant arrhythmia

Non-fatal recurrent myocardial infarction

Non-fatal stroke

Unplanned repeat revascularization

Rehospitalization for heart failure
1-3 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Hui Chen

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 26, 2022

Primary Completion (Estimated)

December 31, 2026

Study Completion (Estimated)

December 31, 2026

Study Registration Dates

First Submitted

August 22, 2025

First Submitted That Met QC Criteria

August 22, 2025

First Posted (Actual)

August 24, 2025

Study Record Updates

Last Update Posted (Actual)

August 24, 2025

Last Update Submitted That Met QC Criteria

August 22, 2025

Last Verified

August 1, 2025

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • BFH2023063001

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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