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Dementia Care Research and Psychosocial Factors.

Alzheimers Dement

December 2024

Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE) Rostock/Greifswald, Rostock, Germany.

Background: Using artificial intelligence approaches enable automated assessment and analysis of speech biomarkers for Alzheimer's disease, for example using chatbot technology. However, current chatbots often are unsuitable for people with cognitive impairment. Here, we implemented a user-centred-design approach to evaluate and improve usability of a chatbot system for automated speech assessments for people with preclinical, prodromal and early dementia.

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Dementia Care Research and Psychosocial Factors.

Alzheimers Dement

December 2024

Movement Disorders Programs, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.

Background: Alzheimer's disease (AD) is a significant health concern affecting at least 10% of individuals aged 65 and older, with heightened risk in Black and Hispanic/Latino populations. Despite this prevalence, our analysis of University of California Los Angeles (UCLA) electronic health records (EHR) indicates that only 4% of patients aged 65 or older receive an AD diagnosis, with underdiagnosis more prevalent among Black and Hispanic/Latino patients compared to their white counterparts. To address this issue, we propose implementing a concise dementia screening tool (DST) in real-world clinical settings.

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Background: Semantic memory refers to knowledge of attributes associated with common objects. Quantifying the strength of semantic association between successive 'animal' fluency responses can be challenging. The current research assessed between-group differences for 'animal' fluency total output and selected verbal serial list learning, episodic memory measures.

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Background: Changes in speech and language functions have shown to be early symptoms of AD pathology. Recent developments in automatic speech and language processing have opened avenues for objective assessments of these changes. The primary objective of this study is to explore whether speech and language markers extracted from cognitive testing conducted during an automated phone call differ according to underlying AD pathology as measured in cerebrospinal fluid (CSF) in preclinical or early stage individuals.

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Background: There is an urgent need for neuropsychological screening tests that are easily deployed and reliable. We have developed a digital neuropsychological screening protocol that is administered on a tablet, automatically scored using artificial intelligence, and requires approximately 10 minutes to administer. This tablet-administered protocol assesses the requisite neurocognitive constructs associated with emergent neurodegenerative illness METHOD: The digital protocol was administered to 77 ambulatory care/ memory clinic patients (Table1).

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