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Artificial Intelligence and Assistive Robotics in Healthcare Services: Applications in Silver Care

Author

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  • Giovanni Luca Masala

    (School of Computing, University of Kent, Canterbury CT2 7NZ, UK)

  • Ioanna Giorgi

    (School of Computing, University of Kent, Canterbury CT2 7NZ, UK)

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 alleviating 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 outcomes and extend home-based care. In addition, AI-powered assistive robots with advanced 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 connectedness. 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 framework for eldercare in the digital age.

Suggested Citation

  • Giovanni Luca Masala & Ioanna Giorgi, 2025. "Artificial Intelligence and Assistive Robotics in Healthcare Services: Applications in Silver Care," IJERPH, MDPI, vol. 22(5), pages 1-12, May.
    • Handle: RePEc:gam:jijerp:v:22:y:2025:i:5:p:781-:d:1655870
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    References listed on IDEAS

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    1. Liangwen Zhang & Yanbing Zeng & Lixia Wang & Ya Fang, 2020. "Urban–Rural Differences in Long-Term Care Service Status and Needs Among Home-Based Elderly People in China," IJERPH, MDPI, vol. 17(5), pages 1-18, March.
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