Unveiling new strategies facilitating the implementation of artificial intelligence in neuroimaging for the early detection of Alzheimer's disease

MO Etekochay, AR Amaravadhi… - Journal of …, 2024 - content.iospress.com
Alzheimer's disease (AD) is a chronic neurodegenerative disorder with a global impact. The
past few decades have witnessed significant strides in comprehending the underlying …

[HTML][HTML] Predictive power of gait and gait-related cognitive measures in amnestic mild cognitive impairment: a machine learning analysis

C Tuena, C Pupillo, C Stramba-Badiale… - Frontiers in Human …, 2024 - frontiersin.org
Introduction Gait disorders and gait-related cognitive tests were recently linked to future
Alzheimer's Disease (AD) dementia diagnosis in amnestic Mild Cognitive Impairment …

The technological emergence of automl: A survey of performant software and applications in the context of industry

A Scriven, DJ Kedziora, K Musial, B Gabrys - arXiv preprint arXiv …, 2022 - arxiv.org
With most technical fields, there exists a delay between fundamental academic research and
practical industrial uptake. Whilst some sciences have robust and well-established …

Novel learning ratio from the NAB list learning test distinguishes between clinical groups: clinical validation and sex-related differences

MG Hall, SC Wollman, ME Haines… - Journal of Clinical …, 2023 - Taylor & Francis
List-learning tasks provide a wealth of information about an individual's cognitive abilities:
attention, encoding, storage, retrieval, recognition. A more recently developed metric, the …

[HTML][HTML] Functional activity level reported by an informant is an early predictor of Alzheimer's disease

A Vik, M Kociński, I Rye, AJ Lundervold, AS Lundervold - BMC geriatrics, 2023 - Springer
Background Loss of autonomy in day-to-day functioning is one of the feared outcomes of
Alzheimer's disease (AD), and relatives may have been worried by subtle behavioral …

[HTML][HTML] Electroencephalography-based classification of Alzheimer's disease spectrum during computer-based cognitive testing

SK Kim, H Kim, SH Kim, JB Kim, L Kim - Scientific Reports, 2024 - nature.com
Alzheimer's disease (AD) is a progressive disease leading to cognitive decline, and to
prevent it, researchers seek to diagnose mild cognitive impairment (MCI) early. Particularly …

Disintegration at the syntax-semantics interface in prodromal Alzheimer's disease: New evidence from complex sentence anaphora in amnestic Mild Cognitive …

B Lust, S Flynn, C Henderson, J Gair… - Journal of …, 2024 - Elsevier
Although diverse language deficits have been widely observed in prodromal Alzheimer's
disease (AD), the underlying nature of such deficits and their explanation remains opaque …

[HTML][HTML] Oxidative Stress-Induced Neurodegeneration and Antioxidative Strategies: Current Stage and Future Perspectives

AM Buga, CN Oancea - Antioxidants, 2023 - mdpi.com
Neurodegenerative diseases (NDs) are the leading cause of neurological disorders,
constituting a public health problem with an exponentially growing incidence rate [1]. By …

[HTML][HTML] Predicting Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using K-Means Clustering on MRI Data

M Bellezza, A di Palma, A Frosini - Information, 2024 - mdpi.com
Alzheimer's disease (AD) is a neurodegenerative disorder that leads to the loss of cognitive
functions due to the deterioration of brain tissue. Current diagnostic methods are often …

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry

A Scriven, DJ Kedziora, K Musial… - … and Trends® in …, 2023 - nowpublishers.com
With most technical fields, there exists a delay between fundamental academic research and
practical industrial uptake. Whilst some sciences have robust and well-established …