This study examines the effectiveness of AI-enhanced mobile health (mHealth) applications in addressing cognitive decline and supporting the mental well-being of dementia patients and their caregivers. With the growing prevalence of dementia and its profound effects on memory, thinking, and daily functioning, there is an urgent need for interventions that can mitigate cognitive decline and improve quality of life and support caregivers. A comprehensive literature review was conducted, synthesizing findings from peer-reviewed studies on AI-enhanced mHealth applications or technologies. The review evaluates these applications and technologies’ impacts on cognitive functions such as memory, thinking, language, orientation, and judgment in dementia patients. It also examines design, usability, and privacy considerations critical for elderly users, along with the extent to which caregiver support features are incorporated. Findings indicate that while many mHealth applications focus on early detection, monitoring, and predictive analytics, few effectively enhance cognitive functions like memory, language, learning, and judgment, which are particularly vulnerable to dementia. Moreover, there is a gap in caregiver support functionalities, underscoring disconnect in fully addressing the multifaceted needs of dementia care. This study identifies a lack of integrated solutions combining AI, ML, DL, and IoT technologies to comprehensively meet both cognitive and caregiving demands all in one place. The review highlights the potential for an integrated mHealth solution powered by AI and IoT to improve the quality of life and mental health outcomes for both dementia patients and caregivers. A holistic approach could provide continuous cognitive support for patients and real-time assistance for caregivers, addressing accessibility, privacy, and usability concerns while bridging the gap in current solutions. Such advancements could redefine dementia care, supporting a more accessible, effective, and compassionate approach to managing cognitive health.

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Can AI and IoT-Integrated Mobile Health Apps Effectively Improve Cognitive Health and Caregiver Support for Dementia?

  • Jessica Kaluiji,
  • Shivani Chauhan,
  • Arvind K. Sharma,
  • Savita Wadhawan

摘要

This study examines the effectiveness of AI-enhanced mobile health (mHealth) applications in addressing cognitive decline and supporting the mental well-being of dementia patients and their caregivers. With the growing prevalence of dementia and its profound effects on memory, thinking, and daily functioning, there is an urgent need for interventions that can mitigate cognitive decline and improve quality of life and support caregivers. A comprehensive literature review was conducted, synthesizing findings from peer-reviewed studies on AI-enhanced mHealth applications or technologies. The review evaluates these applications and technologies’ impacts on cognitive functions such as memory, thinking, language, orientation, and judgment in dementia patients. It also examines design, usability, and privacy considerations critical for elderly users, along with the extent to which caregiver support features are incorporated. Findings indicate that while many mHealth applications focus on early detection, monitoring, and predictive analytics, few effectively enhance cognitive functions like memory, language, learning, and judgment, which are particularly vulnerable to dementia. Moreover, there is a gap in caregiver support functionalities, underscoring disconnect in fully addressing the multifaceted needs of dementia care. This study identifies a lack of integrated solutions combining AI, ML, DL, and IoT technologies to comprehensively meet both cognitive and caregiving demands all in one place. The review highlights the potential for an integrated mHealth solution powered by AI and IoT to improve the quality of life and mental health outcomes for both dementia patients and caregivers. A holistic approach could provide continuous cognitive support for patients and real-time assistance for caregivers, addressing accessibility, privacy, and usability concerns while bridging the gap in current solutions. Such advancements could redefine dementia care, supporting a more accessible, effective, and compassionate approach to managing cognitive health.