Machine Learning Using Clinical and Cardiac MRI Features to Predict Long-term Outcomes in Acute STEMI - PubMed
4 days ago
- #Cardiac MRI
- #Machine Learning
- #STEMI
- Machine learning model integrates clinical and cardiac MRI data to predict long-term MACE in STEMI patients.
- Study includes 1066 STEMI patients, with training and external test sets from different centers.
- ML model achieved an integrated AUC of 0.91 for MACE prediction, outperforming traditional models.
- Model effectively stratified patients into distinct risk groups, aiding individualized risk assessment.
- Findings suggest ML with cardiac MRI enhances prognostic accuracy over current risk scores.