AIMC Topic: Cognition Disorders
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Digital Therapeutics for Cognitive Impairment: Exploring Innovations, Challenges, and Future Prospects.
Journal of medical Internet research
Jun 12, 2025
Recent advancements in cognitive neuroscience and digital technology have significantly accelerated the adoption of digital therapeutics for cognitive impairment. This viewpoint explores the innovative applications of digital therapeutics in the asse...
Combining machine learning and conventional statistical approaches for risk factor discovery in a large cohort study.
Scientific reports
Nov 26, 2021
We present a simple and efficient hypothesis-free machine learning pipeline for risk factor discovery that accounts for non-linearity and interaction in large biomedical databases with minimal variable pre-processing. In this study, mortality models ...
Humanoid robots in the care of older persons: A scoping review.
Assistive technology : the official journal of RESNA
Mar 5, 2021
The aim was to examine how humanoid robots have been used in the care of older persons and identify possible benefits and challenges associated with such use from older persons' points of view. The study was a scoping review based on Arksey and O'Mal...
Investigating the relationship between the SNCA gene and cognitive abilities in idiopathic Parkinson's disease using machine learning.
Scientific reports
Mar 1, 2021
Cognitive impairments are prevalent in Parkinson's disease (PD), but the underlying mechanisms of their development are unknown. In this study, we aimed to predict global cognition (GC) in PD with machine learning (ML) using structural neuroimaging, ...
A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex.
Proceedings of the National Academy of Sciences of the United States of America
Nov 5, 2020
The prefrontal cortex encodes and stores numerous, often disparate, schemas and flexibly switches between them. Recent research on artificial neural networks trained by reinforcement learning has made it possible to model fundamental processes underl...
A machine learning-based linguistic battery for diagnosing mild cognitive impairment due to Alzheimer's disease.
PloS one
Mar 5, 2020
There is a limited evaluation of an independent linguistic battery for early diagnosis of Mild Cognitive Impairment due to Alzheimer's disease (MCI-AD). We hypothesized that an independent linguistic battery comprising of only the language components...
Mapping differential responses to cognitive training using machine learning.
Developmental science
Jul 22, 2019
We used two simple unsupervised machine learning techniques to identify differential trajectories of change in children who undergo intensive working memory (WM) training. We used self-organizing maps (SOMs)-a type of simple artificial neural network...
Reliability and acceptability of using a social robot to carry out cognitive tests for community-dwelling older adults.
Geriatrics & gerontology international
Mar 18, 2019
AIM: To improve access to cognitive testing for older adults, the reliability and acceptability of a speech-based cognitive test administered by a social robot were investigated.
Machine Learning Enhances the Efficiency of Cognitive Screenings for Primary Care.
Journal of geriatric psychiatry and neurology
Mar 17, 2019
BACKGROUND: Incorporation of cognitive screening into the busy primary care will require the development of highly efficient screening tools. We report the convergence validity of a very brief, self-administered, computerized assessment protocol agai...
Prediction of future cognitive impairment among the community elderly: A machine-learning based approach.
Scientific reports
Mar 4, 2019
The early detection of cognitive impairment is a key issue among the elderly. Although neuroimaging, genetic, and cerebrospinal measurements show promising results, high costs and invasiveness hinder their widespread use. Predicting cognitive impairm...
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