Masala, Giovanni Luca, Giorgi, Ioanna (2025) Artificial Intelligence and Assistive Robotics in Healthcare Services: Applications in Silver Care. International Journal of Environmental Research and Public Health, 22 (5). Article Number 781. ISSN 1660-4601. (doi:10.3390/ijerph22050781) (KAR id:110127)
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| Official URL: https://doi.org/10.3390/ijerph22050781 |
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Abstract
Artificial intelligence (AI) and assistive robotics can transform older-person care by offering new, personalised solutions for an ageing population. This paper outlines recent advances in AI-driven applications and robotic assistance in silver care, emphasising their role in improved healthcare services, quality of life and ageing-in-place and alle-viating pressure on healthcare systems. Advances in machine learning, natural language processing and computer vision have enabled more accurate early diagnosis, targeted treatment plans and robust remote monitoring for elderly patients. These innovations support continuous health tracking and timely interventions to improve patient out-comes and extend home-based care. In addition, AI-powered assistive robots with ad-vanced motion control and adaptive response mechanisms are studied to support physical and cognitive health. Among these, companion robots, often enhanced with emotional AI, have shown potential in reducing loneliness and increasing connected-ness. The combined goal of these technologies is to offer holistic patient-centred care, which preserves the autonomy and dignity of our seniors. This paper also touches on the technical and ethical challenges of integrating AI/robotics into eldercare, like privacy and accessibility, and alludes to future directions on optimising AI-human interaction, expanding preventive healthcare applications and creating an effective, ethical frame-work for eldercare in the digital age.
| Item Type: | Article |
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| DOI/Identification number: | 10.3390/ijerph22050781 |
| Uncontrolled keywords: | AI in healthcare; aged care; elderly care; assistive robotics; social robotics |
| Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
| Institutional Unit: | Schools > School of Computing |
| Former Institutional Unit: |
There are no former institutional units.
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| Funders: | University of Kent (https://ror.org/00xkeyj56) |
| Depositing User: | Ioanna Giorgi |
| Date Deposited: | 30 May 2025 10:19 UTC |
| Last Modified: | 22 Jul 2025 09:23 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/110127 (The current URI for this page, for reference purposes) |
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https://orcid.org/0000-0001-6734-9424
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