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

Starting soon

Conditions studied: Myocardial Infarction

In brief

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.

Key facts

Study ID

NCT07457320

Run by

Second Affiliated Hospital, Zhejiang University, School of Medicine

People needed

1500

Starts

2026-04-01

Expected to finish

2028-12-01

Last updated by the study team

2026-03-09

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Age ≥18 years old
• Presented with myocardial infarction, including NSTEMI and STEMI
• Undergoing successful percutaneous coronary intervention.

You may not qualify if…

• Poor imaging quality or a data missing rate >30%

Where it is running

• The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009 — Hangzhou, Zhejiang, China

Full record on ClinicalTrials.gov

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