Digital cognitive biomarker for mild cognitive impairments and dementia: a systematic review
The dementia population is increasing as the world's population is growing older. The
current systematic review aims to identify digital cognitive biomarkers from computerized …
current systematic review aims to identify digital cognitive biomarkers from computerized …
Using explainable artificial intelligence in the clock drawing test to reveal the cognitive impairment pattern
C Jiménez-Mesa, JE Arco, M Valentí-Soler… - … Journal of Neural …, 2023 - World Scientific
The prevalence of dementia is currently increasing worldwide. This syndrome produces a
deterioration in cognitive function that cannot be reverted. However, an early diagnosis can …
deterioration in cognitive function that cannot be reverted. However, an early diagnosis can …
An explainable self-attention deep neural network for detecting mild cognitive impairment using multi-input digital drawing tasks
N Ruengchaijatuporn, I Chatnuntawech… - Alzheimer's Research & …, 2022 - Springer
Background Mild cognitive impairment (MCI) is an early stage of cognitive decline which
could develop into dementia. An early detection of MCI is a crucial step for timely prevention …
could develop into dementia. An early detection of MCI is a crucial step for timely prevention …
Personalised treatment for cognitive impairment in dementia: development and validation of an artificial intelligence model
Background Donepezil, galantamine, rivastigmine and memantine are potentially effective
interventions for cognitive impairment in dementia, but the use of these drugs has not been …
interventions for cognitive impairment in dementia, but the use of these drugs has not been …
Automating Rey Complex Figure Test scoring using a deep learning-based approach: a potential large-scale screening tool for cognitive decline
Abstract Background The Rey Complex Figure Test (RCFT) has been widely used to
evaluate the neurocognitive functions in various clinical groups with a broad range of ages …
evaluate the neurocognitive functions in various clinical groups with a broad range of ages …
Developing an image-based deep learning framework for automatic scoring of the pentagon drawing test
Background: The Pentagon Drawing Test (PDT) is a common assessment for visuospatial
function. Evaluating the PDT by artificial intelligence can improve efficiency and reliability in …
function. Evaluating the PDT by artificial intelligence can improve efficiency and reliability in …
Redefining and validating digital biomarkers as fluid, dynamic multi-dimensional digital signal patterns
“Digital biomarker” is a term broadly and indiscriminately applied and often limited in its
conceptualization to mimic well-established biomarkers as defined and approved by …
conceptualization to mimic well-established biomarkers as defined and approved by …
Reduced-order modeling of conductive polymer pressure sensors using finite element simulations and deep neural networks
Polymer sensors with in-plane electrodes have promising applications in electronic skin
development. In-plane electrodes are commonly configured as interdigitated to have low …
development. In-plane electrodes are commonly configured as interdigitated to have low …
Automatic classification system for diagnosis of cognitive impairment based on the clock-drawing test
C Jimenez-Mesa, JE Arco, M Valentí-Soler… - … Work-Conference on …, 2022 - Springer
The prevalence of dementia is currently increasing worldwide. This syndrome produces a
deterioration in cognitive function that can not be reverted. However, an early diagnosis can …
deterioration in cognitive function that can not be reverted. However, an early diagnosis can …
Modeling users' cognitive performance using digital pen features
Digital pen features model characteristics of sketches and user behavior, and can be used
for various supervised machine learning (ML) applications, such as multi-stroke sketch …
for various supervised machine learning (ML) applications, such as multi-stroke sketch …