NCT07457320

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

• Status: Not Yet Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 1,500 (estimated)
• Sponsor: Second Affiliated Hospital, School of Medicine, Zhejiang University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Myocardial Infarction

Interventions

Type	Name	Description
PROCEDURE	Percutaneous coronary intervention	Percutaneous coronary intervention

Timeline

• Start date: 2026-04-01
• Primary completion: 2027-09-30
• Completion: 2028-12-01
• First posted: 2026-03-09
• Last updated: 2026-03-09

Locations

1 site across 1 country: China