The increasing access to health data worldwide is driving a resurgence in machine learning
research, including data-hungry deep learning algorithms. More computationally efficient …

Computerized cognitive training (CCT) is a frontline therapy to prevent or slow age-related
cognitive decline. A prerequisite for CCT research to provide clinically relevant …

With increased population aging, cognitive training has emerged as a popular intervention
for combating age-related cognitive decline. Considering the purpose of cognitive …

Background and objectives This study aims to develop a machine learning-based approach
to predict adherence to gamified cognitive training using a variety of baseline measures …

Objective Subcutaneous Immunotherapy (SCIT) is the long-lasting causal treatment of
allergic rhinitis (AR). How to enhance the adherence of patients to maximize the benefit of …

With cognitive plasticity being a “sluggish” process, regular long-term engagement in
interventions like cognitive training is required to realize the potential that such interventions …

Background: Cognitive impairment and dementia pose a significant challenge to the aging
population, impacting the well-being, quality of life, and autonomy of affected individuals. As …

Background/Objectives: This systematic review integrates Cognitive Load Theory (CLT),
Educational Neuroscience (EdNeuro), Artificial Intelligence (AI), and Machine Learning (ML) …

Abstract Background and Objectives Sustained computer and internet use have the potential
to help older adults in various aspects of their lives, making predicting sustained use a …

This review provides a thorough examination of recent developments in artificial intelligence
analysis methods within mental and psychiatry field. By analyzing and comparing results …