Development and Validation of a Multimodal Artificial Intelligence Model for Early Prediction of Acute Myocardial Infarction

Condition(s) studied

Investigational drug(s) / intervention(s)

Percutaneous coronary intervention: Percutaneous coronary intervention

Study summary

Acute myocardial infarction (AMI) remains a leading cause of mortality worldwide. Although early revascularization has markedly improved short-term outcomes, the incidence of major adverse cardiovascular events after the index event remains unacceptably high, posing a formidable clinical challenge. Contemporary risk-stratification instruments rely predominantly on a restricted set of conventional clinical variables and therefore fail to capture the full spectrum of individual pathophysiological complexity. To overcome these limitations, the present investigation aims to develop a post-AMI prognostic model that integrates comprehensive multimodal data.

Eligibility

Primary outcome measure(s)

• Diagnostic performance — 6 months
  the diagnostic performance (AUC) for predicting the risk of acute myocardial infarction (AMI) within 6 months

Trial sites (1)

More Second Affiliated Hospital, Zhejiang University, School of Medicine trials in China

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