Transforming Elder Care

A recent paper published in Sensors (May 2024) introduces a sophisticated wheelchair equipped with a brain-machine interface for intuitive control, and features such as stair climbing, posture adjustment, seat elevation, and user-friendly interaction. Ergonomics theory played a crucial role in determining the seat dimensions, ensuring comfort and usability. This intelligent wheelchair not only enhances mobility but also promotes independence and confidence among users. 

Advanced AI tools are proving to be invaluable, offering adaptive support that enhances the effectiveness of caregivers and contributes to their well-being. This support ranges from monitoring patient health to providing decision support, thus reducing the burden on caregivers and improving care outcomes. A systematic review published in May 2024 emphasizes the importance of tailoring AI solutions to the specific needs of caregivers, whether they are assisting paralyzed patients or those with mental health issues like major depressive disorder.

The integration of AI with personalized medicine is a frontier showing tremendous promise. As outlined by Wahyudi et al., this convergence is not just hype but a significant shift towards a more connected and efficient healthcare system.

Sensors, wearables, smart devices, telemedicine equipment, robotic aids are designed to offer companionship, assistance, and continuous health monitoring. Video and voice monitoring, narrative capture, and financial behavior analysis are being developed, alongside AI-powered data analysis methods for automated machine learning and clinical decision support systems. These developments are set to deliver tangible improvements in the care and lifestyle of older adults, promoting a more personalized and proactive approach to health management.

As these technologies continue to evolve, they promise to bring even greater advancements in the care and well-being of the elderly.


Zhang X, Li J, Zhang R, Liu T. A Brain-Controlled and User-Centered Intelligent Wheelchair: A Feasibility Study. Sensors (Basel). 2024 May 9;24(10):3000. doi: 10.3390/s24103000. PMID: 38793855; PMCID: PMC11124864.

Borna S, Maniaci MJ, Haider CR, Gomez-Cabello CA, Pressman SM, Haider SA, Demaerschalk BM, Cowart JB, Forte AJ. Artificial Intelligence Support for Informal Patient Caregivers: A Systematic Review. Bioengineering (Basel). 2024 May 12;11(5):483. doi: 10.3390/bioengineering11050483. PMID: 38790350; PMCID: PMC11118398.

Abadir P, Oh E, Chellappa R, Choudhry N, Demiris G, Ganesan D, Karlawish J, Marlin B, Li RM, Dehak N, Arbaje A. Artificial Intelligence and Technology Collaboratories:Artificial Intelligence and Technology Collaboratories: Innovating aging research and Alzheimer's care. Alzheimer's & Dementia. 2024 Feb 7.


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