Beijing Friendship Hospital
Beijing, 100050, China
Location status: Recruiting
NCT Number: NCT07139860
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.
Interested in participating?
Request Info18 year and older
All sexes
Observational
Beijing, 100050, China
Location status: Recruiting
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
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
Contact information is provided by the study sponsor or research team.
Hui Chen
Other
Acronym: AIEWAEAMI
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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