Systematic review of AI/ML applications in multi-domain robotic rehabilitation: trends, gaps, and future directions

Systematic review of AI/ML applications in multi-domain robotic rehabilitation: trends, gaps, and future directions

Abstract Robotic technology is expected to transform rehabilitation settings, by providing precise, repetitive, and task-specific interventions, thereby potentially improving patients’ clinical outcomes. Artificial intelligence (AI) and machine learning (ML) have been widely applied in different are...

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Bibliographic Details
Main Authors: Giovanna Nicora, Samuele Pe, Gabriele Santangelo, Lucia Billeci, Irene Giovanna Aprile, Marco Germanotta, Riccardo Bellazzi, Enea Parimbelli, Silvana Quaglini
Format: Article
Language:English
Published: BMC 2025-04-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Artificial intelligence
Deep learning
Patient assessment
Physical therapy
Cognitive
Gait
Online Access:https://doi.org/10.1186/s12984-025-01605-z
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