Applications of artificial intelligence in the neuropsychological assessment of dementia: A systematic review
I Veneziani, A Marra, C Formica, A Grimaldi… - Journal of Personalized …, 2024 - mdpi.com
In the context of advancing healthcare, the diagnosis and treatment of cognitive disorders,
particularly Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD), pose significant …
particularly Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD), pose significant …
Toward Quantitative Neurology: Sensors to Assess Motor Deficits in Dementia
M Hamedani, S Caneva, GL Mancardi… - Journal of …, 2024 - journals.sagepub.com
Background: Alzheimer's disease (AD) is the most common neurodegenerative disorder
which primarily involves memory and cognitive functions. It is increasingly recognized that …
which primarily involves memory and cognitive functions. It is increasingly recognized that …
Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today
Recent investigations show that large language models (LLMs), specifically GPT-4, not only
have remarkable capabilities in common Natural Language Processing (NLP) tasks but also …
have remarkable capabilities in common Natural Language Processing (NLP) tasks but also …
Long-term exposure to particulate matter was associated with increased dementia risk using both traditional approaches and novel machine learning methods
Air pollution exposure has been linked to various diseases, including dementia. However, a
novel method for investigating the associations between air pollution exposure and disease …
novel method for investigating the associations between air pollution exposure and disease …
[HTML][HTML] Designing an effective semantic fluency test for early MCI diagnosis with machine learning
A Gómez-Valadés, R Martínez, M Rincón - Computers in Biology and …, 2024 - Elsevier
Semantic fluency tests are one of the key tests used in batteries for the early detection of
Mild Cognitive Impairment (MCI) as the impairment in speech and semantic memory are …
Mild Cognitive Impairment (MCI) as the impairment in speech and semantic memory are …
[HTML][HTML] Identifying the top determinants of psychological resilience among community older adults during COVID-19 in Taiwan: A random forest approach
Resilience in the context of the ongoing COVID-19 pandemic has emerged as a critical
public health concern for the elderly population. However, the extent to which a structured …
public health concern for the elderly population. However, the extent to which a structured …
The relationship between trait impulsivity and everyday executive functions among patients with type 2 diabetes mellitus: The mediating effect of negative emotions
N Liu, CN Heng, Y Cui, L Li, YX Guo… - Journal of Diabetes …, 2023 - Wiley Online Library
Background. In recent years, the incidence of type 2 diabetes mellitus (T2DM) has
dramatically increased, imposing a heavy financial burden on society and individuals. The …
dramatically increased, imposing a heavy financial burden on society and individuals. The …
Development of a machine learning model to discriminate mild cognitive impairment subjects from normal controls in community screening
J Jiang, J Zhang, C Li, Z Yu, Z Yan, J Jiang - Brain Sciences, 2022 - mdpi.com
Background: Mild cognitive impairment (MCI) is a transitional stage between normal aging
and probable Alzheimer's disease. It is of great value to screen for MCI in the community. A …
and probable Alzheimer's disease. It is of great value to screen for MCI in the community. A …
Association of APOE ε4/ε4 with fluid biomarkers in patients from the PUMCH dementia cohort
L Shang, L Dong, X Huang, T Wang, C Mao… - Frontiers in Aging …, 2023 - frontiersin.org
Background Apolipoprotein-E (APOE) ε4 is a major genetic risk factor for Alzheimer's
disease (AD). Current studies, which were mainly based on the clinical diagnosis rather than …
disease (AD). Current studies, which were mainly based on the clinical diagnosis rather than …
Learning cognitive-test-based interpretable rules for prediction and early diagnosis of dementia using neural networks
Background: Accurate, cheap, and easy to promote methods for dementia prediction and
early diagnosis are urgently needed in low-and middle-income countries. Integrating various …
early diagnosis are urgently needed in low-and middle-income countries. Integrating various …