Publications by authors named "R Hilker-Roggendorf"

Background: Cognitive reserve (CR) is considered a protective factor for cognitive function and may explain interindividual differences of cognitive performance given similar levels of neurodegeneration, e.g., in Alzheimer´s disease.

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Introduction: Factor Xa (FXa) inhibitors are superior to vitamin K antagonists (VKAs) in terms of avoiding hemorrhagic complications. However, no robust data are available to date as to whether this also applies to the early phase after stroke. In this prospective registry study, we aimed to investigate whether anticoagulation with FXa inhibitors in the early phase after acute ischemic stroke or transient ischemic attack (TIA) is associated with a lower risk of major bleeding events compared with VKAs.

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Dopamine agonists are an important component of Parkinson's therapy. When weighing up the various therapy options, therapy with levodopa has recently been increasingly preferred due to its stronger efficacy and the ostensibly lower rate of side effects. The advantage of the lower incidence of motor complications during therapy with dopamine agonists was neglected.

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Article Synopsis
  • The study explores the potential of artificial intelligence in medicine by comparing various machine learning techniques for classifying neurodegenerative diseases using MRI data.
  • Four methods were tested: support vector machine, random forest, gradient boosting, and deep neural networks, utilizing MRI data from 940 subjects, including healthy controls and patients with multiple diseases.
  • Results indicated that deep neural networks performed the best overall, while smaller disease classes were better classified with ensemble methods or support vector machines, suggesting the need for larger datasets and careful selection of machine learning methods for such classification tasks.
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