AIMC Topic: Myocarditis

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Right Ventricular Strain as a Key Feature in Interpretable Machine Learning for Identification of Takotsubo Syndrome: A Multicenter CMR-based Study.

Academic radiology Sep 1, 2025
RATIONALE AND OBJECTIVES: To develop an interpretable machine learning (ML) model based on cardiac magnetic resonance (CMR) multimodal parameters and clinical data to discriminate Takotsubo syndrome (TTS), acute myocardial infarction (AMI), and acute...
Humans Machine Learning Female Aged Male Middle Aged Magnetic Resonance Imaging Diagnosis, Differential Myocardial Infarction Myocarditis Heart Ventricles Image Interpretation, Computer-Assisted Takotsubo Cardiomyopathy Magnetic Resonance Imaging, Cine
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Using machine learning models based on cardiac magnetic resonance parameters to predict the prognostic in children with myocarditis.

BMC pediatrics May 24, 2025
OBJECTIVE: To develop machine learning (ML) models incorporating explanatory cardiac magnetic resonance (CMR) parameters for predicting the prognosis of myocarditis in pediatric patients.
Humans Machine Learning Prognosis Retrospective Studies Female Male Echocardiography Infant Adolescent Child, Preschool Child Electrocardiography Magnetic Resonance Imaging Myocarditis
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