Development and Validation of a Cardiac Magnetic Resonance-Based Multimodal Deep Learning Model for Long-Term Outcome Prediction in ST-Segment Elevation Myocardial Infarction

Objective: This study aims to develop and test a novel artificial intelligence-based prediction model. This model will integrate cardiac magnetic resonance imaging and clinical data to predict the long-term risk of major adverse cardiovascular events in patients who have undergone emergency percutaneous coronary intervention for ST-segment elevation myocardial infarction. Description: This study plans to enroll patients with STEMI who have received primary PCI. Approximately one week after the procedure, patients will undergo a cardiac magnetic resonance scan. Concurrently, we will collect patients' basic information, blood test results during treatment, and procedural records. Thereafter, patients will be followed up regularly (every six months) to record the occurrence of any major adverse cardiac events, such as cardiovascular death, recurrent myocardial infarction, hospitalization for heart failure, or unplanned repeat revascularization.All collected data, including clinical data and analyzed cardiac MR images, will be used to construct a multimodal deep learning model. The model will learn to identify features associated with future cardiac problems. The accuracy of the model will be tested and validated in different patient groups. Potential Impact: If successful, this prediction tool could assist physicians in identifying high-risk patients earlier and more accurately, enabling closer monitoring and more timely interventions, ultimately improving the long-term prognosis for these patients.

NCT Number	NCT07277400
Lead Sponsor	Qian geng Collaborators: Xi'an Jiaotong University, Beijing Anzhen Hospital, Second Affiliated Hospital of Nanchang University, First People's Hospital of Yulin, Guizhou Provincial People's Hospital, Jiangxi Provincial People's Hopital, First Affiliated Hospital of Xinjiang Medical University, People's Hospital of Xinjiang Uygur Autonomous Region, Beijing Chao Yang Hospital, Wuhan Asia Heart Hospital
Conditions	ST Elevation (STEMI) Myocardial Infarction
Enrollment	800 participants
Start Date	2026-01-31
Primary Completion	2026-02-28 (estimated)
Study Completion	2026-06-30 (estimated)
Updated on ClinicalTrials.gov	2025-12-11