Xiaoxue Zhai
Papers
2
Total Citations
47
H-Index
2
About
Xiaoxue Zhai is a leading researcher in neurorehabilitation engineering, with a focus on leveraging artificial intelligence and robotics to improve stroke recovery outcomes. Her work bridges deep learning and rehabilitation science, most notably through a transferable prognosis model that predicts stroke patients’ recovery trajectories across different rehabilitation trainings—a breakthrough that addresses the critical challenge of treatment variability. With 29 citations, this 2022 study demonstrates how AI can personalize therapy by forecasting outcomes for multiple interventions, a significant step toward precision medicine in neurorehabilitation. Zhai also made substantial contributions to robot-aided therapy, evidenced by her 2021 randomized controlled trial on ankle rehabilitation. This work showed that robotic stretching devices can reduce plantarflexor stiffness and improve balance in stroke survivors, achieving 18 citations and advancing the understanding of how mechanized assistance enhances motor recovery. Together, her research—integrating predictive modeling with robotic intervention—has garnered growing attention, reflecting its potential to transform clinical practice. Zhai’s achievements underscore her role at the forefront of combining computational methods with rehabilitation technology to address complex neurological deficits.
Research Focus
Key Achievements
Top Papers
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