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    Item type:Publication,
    Serious Games Created for Cognitive Rehabilitation: A Systematic Review
    Cognitive rehabilitation is a process by which people who have suffered some type of brain impairment recover their mental abilities. This type of treatment has classically been carried out with concrete materials of pencil and paper, however, currently the use of technology has provided a significant contribution to improve the motivation and interest of patients involved in this process. In this research, a systematic review of the main studies that have generated some type of technology for the cognitive stimulation and rehabilitation process was carried out. In the collection of studies, 24 published articles were found that allowed understanding aspects such as sample size, age, gender, countries, continents, type of interventions and the main technological developments that have been developed in recent years in favor of cognitive stimulation and rehabilitation. The results are discussed in relation to the importance of conducting this type of studies in favor of the treatment processes and the need to improve the quality of the treatment process
      20
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    Item type:Publication,
    Impact of Technological Development on Human Cognitive Functioning
    Human beings have several cognitive functions (memory, attention, language, perception, executive functions and others) that allow them to perform all their daily activities. In the context of the stimulation of human cognitive functions, classic activities based on tangible resources such as pencil and paper have been developed. In this context, there is an opportunity for technological development to make proposals to create games that stimulate human mental abilities. In this context, this article reports a quantitative systematic review of research about games to cognitive stimulation. Among the main results obtained, games that stimulate skills such as perception, attention, memory, executive functions, psychomotor skills and information processing speed were identified. The following are some of the results processed in this systematic review.
      23
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    Item type:Publication,
    AI-assisted neurocognitive assessment protocol for older adults with psychiatric disorders
    (2025)
    Diego D. Díaz-Guerra
    ;
    Marena de la C. Hernández-Lugo
    ;
    Yunier Broche-Pérez
    ;
    Carlos Ramos-Galarza
    ;
    Ernesto Iglesias-Serrano
    Introduction: Evaluating neurocognitive functions and diagnosing psychiatric disorders in older adults is challenging due to the complexity of symptoms and individual differences. An innovative approach that combines the accuracy of artificial intelligence (AI) with the depth of neuropsychological assessments is needed. Objectives: This paper presents a novel protocol for AI-assisted neurocognitive assessment aimed at addressing the cognitive, emotional, and functional dimensions of older adults with psychiatric disorders. It also explores potential compensatory mechanisms. Methodology: The proposed protocol incorporates a comprehensive, personalized approach to neurocognitive evaluation. It integrates a series of standardized and validated psychometric tests with individualized interpretation tailored to the patient’s specific conditions. The protocol utilizes AI to enhance diagnostic accuracy by analyzing data from these tests and supplementing observations made by researchers. Anticipated results: The AI-assisted protocol offers several advantages, including a thorough and customized evaluation of neurocognitive functions. It employs machine learning algorithms to analyze test results, generating an individualized neurocognitive profile that highlights patterns and trends useful for clinical decision-making. The integration of AI allows for a deeper understanding of the patient’s cognitive and emotional state, as well as potential compensatory strategies. Conclusions: By integrating AI with neuro-psychological evaluation, this protocol aims to significantly improve the quality of neurocognitive assessments. It provides a more precise and individualized analysis, which has the potential to enhance clinical decision-making and overall patient care for older adults with psychiatric disorders
      15