Actively Recruiting
Artificial Intelligence System for Early Warning of Adverse Events in Acute Myocardial Infarction
Led by Hui Chen · Updated on 2025-08-24
1400
Participants Needed
1
Research Sites
213 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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
Official Title
Artificial Intelligence System for Early Warning of Adverse Events in Acute Myocardial Infarction
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Hospitalized patients who meet the diagnostic criteria for acute myocardial infarction.
- Patients who agree to participate and sign the informed consent form.
You will not qualify if you...
- Patients with terminal malignant tumors and an expected survival time of less than 3 months.
- Patients with complete disability and inability to communicate.
- Patients unable to comply with follow-up.
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Beijing Friendship Hospital
Beijing, China, 100050
Actively Recruiting
Research Team
H
Hui Chen
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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