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http://dx.doi.org/10.1002/jmri.29384 | DOI Listing |
Alzheimers Dement
December 2024
German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Numerous drugs (including disease-modifying therapies, cognitive enhancers and neuropsychiatric treatments) are being developed for Alzheimer's and related dementias (ADRD). Emerging neuroimaging modalities, and genetic and other biomarkers potentially enhance diagnostic and prognostic accuracy. These advances need to be assessed in real-world studies (RWS).
View Article and Find Full Text PDFUp to date, there are no precise reports of the prevalence of dementia with Lewy bodies (DLB) in Latin America. This can be explained by the lack of research studies and general little awareness about the disease. Notably, collaborative clinical studies are lacking, and DLB patients remain underrepresented despite their significant morbidity.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
National University, Muscat, Muscat, Oman.
Background: This study explores Alzheimer's prediction through brain MRI images, utilizing Convolutional Neural Networks (CNNs) and Lime interpretability. Based on an extensive ADNI MRI dataset, we demonstrate promising results in predicting Alzheimer's disease. Local Interpretable Model Agnostic Explanations (LIME) shed light on decision-making processes, enhancing transparency.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
The Education University of Hong Kong, Tai Po, New Territories, Hong Kong.
Background: Lexical retrieval therapy (LRT) has been proven to be an effective speech therapy for individuals with semantic variant primary progressive aphasia (svPPA) and semantic cue plays an important ingredient in LRT. In recent findings, differential performance in using and choosing noun-classifiers amongst Chinese individuals with the three subtypes of PPA were observed. The current study aims to explore the treatment effect of employing noun-classifier as a semantic cue of LRT for Cantonese-speaking svPPA.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Infovital, Envigado, Colombia.
Background: Currently, the diagnosis of Alzheimer's disease dementia (ADD) is determined based on clinical criteria, as well as specific imaging and cerebrospinal fluid (CSF) biomarker profiles. However, healthcare professionals face a variety of challenges that hinder their application, such as the interpretation and integration or large amounts of data derived from neuropsychological assessment, the importance attributed to each source of information and the impact of unknown variables, among others. Therefore, this research focuses on the development of a computerized diagnostic tool based on Artificial Intelligence (AI), to strengthen the capacity of healthcare professionals in the identification and diagnosis of ADD.
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