IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v22y2025i5p781-d1655870.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/22/5/781/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/22/5/781/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:22:y:2025:i:5:p:781-:d:1655870. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.