This chapter investigates the efficacy of artificial intelligence (AI)-enhanced mobile health (mHealth) applications in mitigating cognitive decline and promoting the mental well-being of individuals affected by neurocognitive disorders, as well as supporting their caregivers. Given the increasing global prevalence of cognitive impairment—characterized by progressive deterioration in memory, reasoning, and functional abilities—there is a pressing need for innovative interventions aimed at preserving cognitive functions, enhancing quality of life, and reducing caregiver burden. A comprehensive literature review was undertaken, synthesizing findings from 104 peer-reviewed studies focusing on AI-driven mHealth technologies. The review critically evaluates the impacts of these applications on core cognitive domains, including memory, executive functioning, language abilities, spatial and temporal orientation, and judgment in individuals experiencing cognitive deficits. Additionally, attention is given to design considerations, usability factors, and privacy protections, particularly in relation to aging populations, alongside an assessment of the extent to which caregiver support features are embedded within these technologies. The analysis reveals that, although many existing mHealth applications prioritize early detection, health monitoring, and predictive analytics, relatively few demonstrate efficacy in strengthening cognitive capacities such as memory retention, language processing, learning ability, and decision-making—areas notably vulnerable to neurodegenerative conditions. Furthermore, there remains a significant gap in the incorporation of caregiver support functionalities, indicating a broader systemic disconnect in addressing the multidimensional needs associated with cognitive care. The findings highlight a critical deficiency in the availability of integrated solutions that leverage AI, machine learning (ML), deep learning (DL), and Internet of Things (IoT) technologies within a unified platform capable of simultaneously addressing the needs of individuals with cognitive impairment and their caregivers. This review underscores the considerable potential for the development of comprehensive mHealth ecosystems, wherein AI and IoT converge to facilitate sustained cognitive support for patients and real-time assistance for caregivers. A holistic, ethically grounded, and user-centered approach to mHealth innovation could significantly enhance accessibility, ensure robust privacy protections, and improve usability across diverse populations. Such advancements have the capacity to transform the paradigm of cognitive care by fostering more inclusive, effective, and compassionate strategies for managing neurocognitive health across the lifespan.

Intelligent Applications and Its Impact in Improving Brain-Health

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发表日期：

2026年

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Shivani Chauhan,
Arvind K. Sharma

摘要

This chapter investigates the efficacy of artificial intelligence (AI)-enhanced mobile health (mHealth) applications in mitigating cognitive decline and promoting the mental well-being of individuals affected by neurocognitive disorders, as well as supporting their caregivers. Given the increasing global prevalence of cognitive impairment—characterized by progressive deterioration in memory, reasoning, and functional abilities—there is a pressing need for innovative interventions aimed at preserving cognitive functions, enhancing quality of life, and reducing caregiver burden. A comprehensive literature review was undertaken, synthesizing findings from 104 peer-reviewed studies focusing on AI-driven mHealth technologies. The review critically evaluates the impacts of these applications on core cognitive domains, including memory, executive functioning, language abilities, spatial and temporal orientation, and judgment in individuals experiencing cognitive deficits. Additionally, attention is given to design considerations, usability factors, and privacy protections, particularly in relation to aging populations, alongside an assessment of the extent to which caregiver support features are embedded within these technologies. The analysis reveals that, although many existing mHealth applications prioritize early detection, health monitoring, and predictive analytics, relatively few demonstrate efficacy in strengthening cognitive capacities such as memory retention, language processing, learning ability, and decision-making—areas notably vulnerable to neurodegenerative conditions. Furthermore, there remains a significant gap in the incorporation of caregiver support functionalities, indicating a broader systemic disconnect in addressing the multidimensional needs associated with cognitive care. The findings highlight a critical deficiency in the availability of integrated solutions that leverage AI, machine learning (ML), deep learning (DL), and Internet of Things (IoT) technologies within a unified platform capable of simultaneously addressing the needs of individuals with cognitive impairment and their caregivers. This review underscores the considerable potential for the development of comprehensive mHealth ecosystems, wherein AI and IoT converge to facilitate sustained cognitive support for patients and real-time assistance for caregivers. A holistic, ethically grounded, and user-centered approach to mHealth innovation could significantly enhance accessibility, ensure robust privacy protections, and improve usability across diverse populations. Such advancements have the capacity to transform the paradigm of cognitive care by fostering more inclusive, effective, and compassionate strategies for managing neurocognitive health across the lifespan.