ROBOT-ASSISTED NEUROREHABILITATION: A COMPREHENSIVE NARRATIVE REVIEW OF CLINICAL OUTCOMES, COST-EFFECTIVENESS, AND FUTURE CHALLENGES

Abstract

Background:
Robot-assisted neurorehabilitation (RAN) is an innovative technique developed for the treatment of neurological conditions including stroke and spinal cord injuries. Robotic devices especially exoskeleton and end effector robots offer high-intensity, task-specific therapy and help induce neuroplasticity and recovery of upper and lower limb functions.

Objective:
The purpose of this narrative review paper is to review the latest information on the benefits, cost-effectiveness and challenges in the use of robot-assisted neurorehabilitation, especially for upper and lower limb rehabilitation using exoskeletons.

Methods:
A structured literature search was conducted using Google Scholar, PubMed and Scopus databases for studies published between 2016 and 2025. Keywords included “robotic exoskeleton,”, “virtual reality”, “neurorehabilitation”, “AI”, “Brain Computer Interface” and “wearable”. Priority was given to randomized meta-analyses, controlled trials, and high-quality reviews involving human subjects.

Key Findings:

Major studies demonstrate that robotic training significantly improves upper and lower limb dexterity, gait speed, balance and functional independence, especially when combined with conventional therapy. Innovations such as portable exosuits, AI-driven torque adaptation and VR integration show promise in tailoring therapy and enhancing patient engagement. However, limitations persist in terms of protocol variability, limited long-term follow-up, high costs and ethical concerns regarding patient overdependence and clinician displacement with technology. Cost-effectiveness is highly context-dependent, influenced by device utilization and infrastructure readiness.

Conclusion:
The use of robots in neurorehabilitation has enormous potential when it comes to motor recovery as well as making intensive rehabilitation accessible. In order for this technology to be widely implemented and adopted, it is necessary to have standardized protocols, explainable artificial intelligence systems, and cost-effective devices. Collaboration between researchers and health policy makers are crucial in this respect.