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

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.

NCT Number	NCT07457320
Lead Sponsor	Second Affiliated Hospital, School of Medicine, Zhejiang University
Conditions	Myocardial Infarction
Enrollment	1,500 participants
Start Date	2026-04-01
Primary Completion	2027-09-30 (estimated)
Study Completion	2028-12-01 (estimated)
Updated on ClinicalTrials.gov	2026-03-09