AIMC Topic: Meglumine

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Preprocedure Application of Machine Learning and Mechanistic Simulations Predicts Likelihood of Paroxysmal Atrial Fibrillation Recurrence Following Pulmonary Vein Isolation.

Circulation. Arrhythmia and electrophysiology Jun 14, 2020
BACKGROUND: Pulmonary vein isolation (PVI) is an effective treatment strategy for patients with atrial fibrillation (AF), but many experience AF recurrence and require repeat ablation procedures. The goal of this study was to develop and evaluate a m...
Humans Machine Learning Retrospective Studies Female Reproducibility of Results Risk Factors Aged Male Middle Aged Risk Assessment Diagnosis, Computer-Assisted Treatment Outcome Contrast Media Magnetic Resonance Imaging Action Potentials Predictive Value of Tests Atrial Fibrillation Heart Rate Catheter Ablation Proof of Concept Study Organometallic Compounds Recurrence Models, Cardiovascular Patient-Specific Modeling Pulmonary Veins Meglumine
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A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI.

European radiology experimental Jan 28, 2020
BACKGROUND: Differentiate malignant from benign enhancing foci on breast magnetic resonance imaging (MRI) through radiomic signature.
Humans Machine Learning Retrospective Studies Female Adult Breast Neoplasms Middle Aged Contrast Media Magnetic Resonance Imaging Diagnosis, Differential Feasibility Studies Image Interpretation, Computer-Assisted Organometallic Compounds Meglumine
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