Wednesday, April 23, 2025

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

 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.
(So, also a complete failure of 10% full recovery like conventional?)

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