Home Ischemic Stroke A Meta-analysis of Randomized Controlled Trials

A Meta-analysis of Randomized Controlled Trials

by Admin1122


 AI is almost completely worthless until the underlying research for 100% recovery is there!  You’re putting the cart before the horse!

Functional and Motoric Outcome of AI-Assisted Stroke Rehabilitation: A Meta-analysis of Randomized Controlled

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https://doi.org/10.1016/j.dscb.2025.100224

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Highlights

  • AI-assisted stroke rehabilitation shows promising outcomes in terms of functional and motoric outcomes.

  • Barthel and Motricity Index are used in this study.

  • Combination of VR and rehabilitation robots give the best result.

  • AI-assisted stroke rehabilitation is more feasible, personalized, cost-effective than the conventional method. (And just as bad in getting survivors fully recovered! Survivors make the decision as to effectiveness, your stroke medical ‘professionals’ have NO say in the matter!)

  • AI-assisted stroke rehabilitation encourages home-based care and improves treatment adherence.

Abstract

Introduction

Stroke
is the primary contributor to disability worldwide, causing a high
economic burden due to its morbidity. Due to the application of
artificial intelligence (AI), stroke rehabilitation has been
revolutionized, resulting in significant improvement. Implementing AI
also enables home-based care, thus helping stroke patients who generally
have ambulatory difficulties.

Methods

This
research was a systematic review from Pubmed, ScienceDirect, and
ProQuest, including randomized controlled trials (RCT) published from
2009 to 2024. Meta-analysis included seven studies discussing the
functional and motoric outcomes of AI-assisted stroke rehabilitation.

Results

Six
studies included post-stroke patients within 3 to 6 months after the
stroke occurred. AI models used were varied, ranging from end-effector
or exoskeleton robots to a combination of both and virtual reality (VR).
Overall, the included studies had a low risk of bias. Standard mean
differences (SMDs) of the Barthel Index and Motricity Index were 0.16
and 0.60. No significant difference between AI-assisted stroke
rehabilitation and conventional stroke rehabilitation for both outcomes.
Non-inferiority trials showed that the AI-assisted method was not
inferior to the conventional method of stroke rehabilitation.

Discussion

Considering
its feasibility, personalization, and flexible rehabilitation program,
AI-assisted was non-inferior to the conventional method. A comprehensive
guideline is needed to facilitate its usage in clinical practice.

Conclusion

AI-assisted stroke rehabilitation was not inferior to conventional stroke rehabilitation.



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