AI-Driven Framework for Cognitive Enhancement and Mental Health
Cognitive disabilities significantly impact an individual's ability to navigate daily life. This research proposes an enhanced AI-driven framework that integrates neural network technologies and advanced Natural Language Processing (NLP) algorithms to support individuals with cognitive impairments. The primary goal of this framework is to improve language comprehension and bolster both short-term and long-term memory. The validity of this framework has been demonstrated through experiments and performance analysis using real-world datasets, showing significant improvements in linguistic understanding, memory retention, and task execution.
Applications of AI in Memory Enhancement
Research indicates that Artificial Intelligence has extensive applications in strengthening the brain's cognitive functions. Data suggests that AI is effective in treating numerous cognitive challenges. Specifically, AI can increase short-term memory capacity (which holds information for brief periods) from 22.4 to 29.8 and long-term memory (which stores information for extended periods with virtually unlimited capacity) from 23.5 to 28.6. These statistics demonstrate that AI can be highly beneficial in the medical industry, contributing significantly to mental and psychological well-being.
The Role of AI in Anxiety Reduction
According to this study, the statistics show a decrease in psychological anxiety from 2.5 to 1.8, while physical (somatic) anxiety dropped from 2.3 to 1.8. Furthermore, individual motivation levels increased from 2.1 to 2.8. these findings underscore the high efficacy of AI in managing and treating psychological conditions.
Impact of AI on Decision-Making in the Elderly
A scientific study published in 2025 investigated the impact of Generative AI on how individuals make decisions in various situations. The research revealed that without AI assistance, elderly individuals faced greater difficulties due to declines in working memory, processing speed, and decision-making abilities. However, when using AI, the perceived difficulty in choice-making was significantly reduced. The results suggest that AI can compensate for age-related cognitive weaknesses and improve overall cognitive performance.
Assessment Tools: The DASS-21 Questionnaire
To measure levels of anxiety and memory function, researchers utilize standardized tools such as the DASS-21 (Depression, Anxiety, and Stress Scale). This is a concise 21-item questionnaire that helps psychologists assess the severity of a person's stress, anxiety, or depression. Each item is scored on a scale of 0 to 3, and a final total score is calculated for each emotional state.AI-Driven Framework for Cognitive Enhancement and Mental Health
Cognitive disabilities significantly impact an individual's ability to navigate daily life. This research proposes an enhanced AI-driven framework that integrates neural network technologies and advanced Natural Language Processing (NLP) algorithms to support individuals with cognitive impairments. The primary goal of this framework is to improve language comprehension and bolster both short-term and long-term memory. The validity of this framework has been demonstrated through experiments and performance analysis using real-world datasets, showing significant improvements in linguistic understanding, memory retention, and task execution.
Applications of AI in Memory Enhancement
Research indicates that Artificial Intelligence has extensive applications in strengthening the brain's cognitive functions. Data suggests that AI is effective in treating numerous cognitive challenges. Specifically, AI can increase short-term memory capacity (which holds information for brief periods) from 22.4 to 29.8 and long-term memory (which stores information for extended periods with virtually unlimited capacity) from 23.5 to 28.6. These statistics demonstrate that AI can be highly beneficial in the medical industry, contributing significantly to mental and psychological well-being.
The Role of AI in Anxiety Reduction
According to this study, the statistics show a decrease in psychological anxiety from 2.5 to 1.8, while physical (somatic) anxiety dropped from 2.3 to 1.8. Furthermore, individual motivation levels increased from 2.1 to 2.8. these findings underscore the high efficacy of AI in managing and treating psychological conditions.
Impact of AI on Decision-Making in the Elderly
A scientific study published in 2025 investigated the impact of Generative AI on how individuals make decisions in various situations. The research revealed that without AI assistance, elderly individuals faced greater difficulties due to declines in working memory, processing speed, and decision-making abilities. However, when using AI, the perceived difficulty in choice-making was significantly reduced. The results suggest that AI can compensate for age-related cognitive weaknesses and improve overall cognitive performance.
Assessment Tools: The DASS-21 Questionnaire
To measure levels of anxiety and memory function, researchers utilize standardized tools such as the DASS-21 (Depression, Anxiety, and Stress Scale). This is a concise 21-item questionnaire that helps psychologists assess the severity of a person's stress, anxiety, or depression. Each item is scored on a scale of 0 to 3, and a final total score is calculated for each emotional state.
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