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September 10, 2025Deleted JournalOpen Access

AI-Driven Smart Wearable Systems forPersonalized Rehabilitation Monitoring

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Authors

RBRoza Beisembekova

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Overview

Scoping review analyzes AI wearables' effectiveness in improving rehabilitation outcomes, suggesting new monitoring strategies.

Key Points

  • AI-enabled wearables significantly improve patient adherence and monitoring accuracy through real-time data.
  • Common algorithms include support vector machines and convolutional neural networks for functions like gait analysis.
  • Integration with IoT and telemedicine enhances remote monitoring and personalized therapy delivery for patients.
  • Challenges still exist in data security and interoperability, highlighting the need for improved system designs.

Cite This Study

Roza Beisembekova (2025) studied this question.

synapsesocial.com/papers/68c183fe9b7b07f3a060ff1chttps://doi.org/10.52889/1684-9280-2025-76-4-jto010
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Integrating wearable health devices with AI and edge computing for personalized rehabilitation2025
  2. 2AI-Enabled Wearables for Motor Function Assessment and Rehabilitation in Parkinson’s Disease: A Scoping Review and Evidence Map (Preprint)2025 · 3 citations
  3. 3The Role of AI and Machine Learning in Wearable Technology: A Comprehensive Analysis of Future Healthcare Innovations2024
  4. 4Artificial intelligence–integrated wearable sensors for sports injury prediction and rehabilitation monitoring: a systematic review2026
  5. 5The Role of AI and Wearables in Injury Prediction and Performance Optimization2025