Authors : Shilpa Chandran K.; Premkumar Mariarathinam

Volume/Issue : Volume 11 - 2026, Issue 3 - March

Google Scholar : https://tinyurl.com/3s73xrs2

Scribd : https://tinyurl.com/mhzm9c96

DOI : https://doi.org/10.38124/ijisrt/26mar1173

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Background: For young adults to carry out daily activities and work-related duties, hand function is crucial. Although traditional hand exercises have long been utilized in rehabilitation, new developments in artificial intelligence (AI), such as virtual reality and game-based therapies, have brought in novel ways to improve rehabilitation results. Research interest in comparing the efficacy of these AI-based therapies with traditional exercises is still expanding.  Goal: To systematically review and contrast the efficacy of AI-based therapies with conventional hand workouts in enhancing young people’ hand function.  Methods: A systematic review was conducted according to PRISMA guidelines. The databases searched for relevant research studies published in the last 10 years were PubMed, Scopus, Web of Science, Cochrane Library, and Google Scholar. Quasiexperimental and randomized controlled trials with participants aged 18 to 30 years of age were eligible to be included in this study. Data extraction was focused on the type of intervention, duration of intervention, outcome measures, and outcomes of intervention. The methodological quality of studies included was assessed using AMSTAR 2 and Cochrane Risk of Bias Tool.  Results: AI-based therapies, like virtual reality and game-based rehabilitation, greatly enhanced hand grip strength, dexterity, and functional performance, according to the included studies. When compared to conventional hand exercises, these interventions also demonstrated higher levels of patient interest and adherence.  Conclusion: AI-based hand rehabilitation seems to be a viable and successful substitute for conventional workouts for enhancing young adults’ hand function. Its incorporation into the practice of physical therapy may maximize functional recovery and improve patient involvement. To create standardized procedures, however, more excellent research with bigger sample sizes is required.

Keywords : Young Adults, Dexterity, Virtual Reality, Physiotherapy, Artificial Intelligence, and Hand Rehabilitation.

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