Aging and Medical Rehabilitation: A Contribution to a Comprehensive Discussion
DOI:
https://doi.org/10.25759/spmfr.546Keywords:
Aged, Artificial Intelligence, Physical and Rehabilitation Medicine, Robotics, Virtual RealityAbstract
The rapid development of innovative technologies is transforming the landscape of elderly care and physical and rehabilitation medicine, addressing the unique challenges of aging. This document explores cutting-edge solutions, including smart house technologies (SHT), artificial intelligence (AI), virtual reality (VR), robotics, and advanced geriatric rehabilitation (GR) assessment strategies. These advancements enhance safety, autonomy, and quality of life for older adults and revolutionize therapeutic processes, making them more personalized and effective. By integrating these technologies into healthcare, we can create a future that empowers the elderly to age with dignity, autonomy, and improved well-being. GR is an increasingly relevant topic in medical science and society at large.Downloads
References
World Health Organization. Global cooperation on assistive technology (GATE). Geneva: WHO; 2024. [Accessed January 21, 2025]. Available at: http://www.who.int/disabilities/technology/gate/en
Vrančić A, Zadravec H, Orehovački T. The role of smart homes in providing care for older adults: a systematic literature review from 2010 to 2023. Smart Cities. 2024;7:1502-50. doi:10.3390/smartcities7040062
Lanete F, O'Brien MK, Jayaraman A. AI in Rehabilitation Medicine: Opportunities and Challenges. Ann Rehabil Med. 2023;47:444-58. doi:10.5535/arm.23131
Sumner J, Lim HW, Chong LS, Bundele A, Mukhopadhyay A, Kayambu G. Artificial intelligence in physical rehabilitation: A systematic review. Artif Intell Med. 2023;146:102693. doi:10.1016/j.artmed.2023.102693
Laver K, George S, Thomas S, Deutsch JE, Crotty M. Virtual reality for stroke rehabilitation. Cochrane Database Syst Rev. 2015:CD008349. doi:10.1002/14651858.CD008349.pub
Ma M, Zheng H. Virtual reality and serious games in healthcare. In: Advanced Computational Intelligence Paradigms in Healthcare 2. Berlin: Springer; 2011. p.169-92.
Costanzo M, Smeriglio R, Di Nuovo S. New technologies and assistive robotics for elderly: a review on psychological variables. Arch Gerontol Geriatr Plus. 2024;1:100056. doi:10.1016/j.aggp.2024.100056
Cantone AA, Esposito M, Perillo FP, Romano M, Sebillo M, Vitiello G. Enhancing elderly health monitoring: achieving autonomous and secure living through the integration of artificial intelligence, autonomous robots, and sensors. Electronics. 2023;12:3918. doi:10.3390/electronics12183918
Grund S, Gordon AL, van Balen R, Bachmann S, Cherubini A, Landi F, et al. European consensus on core principles and future priorities for geriatric rehabilitation: consensus statement. Eur Geriatr Med. 2020;11:233-8.
Hoenig H, Colon-Emeric C. Overview of geriatric rehabilitation: Patient assessment and common indications for rehabilitation. [Accessed on October 20, 2024] Available at: https://www.uptodate.com/contents/overview-of-geriatric-rehabilitation-patient-assessment-and-common-indications-for-rehabilitation.
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