Jingjing Luo
Papers
1
Total Citations
1
H-Index
1
About
Jingjing Luo is an emerging researcher whose work sits at the intersection of neurology, rehabilitation science, and assistive technology. Their most notable contribution to date is a systematic meta-analysis examining the effectiveness of robot-assisted rehabilitation for patients with Parkinson's disease, a progressive neurodegenerative disorder that profoundly impacts motor function and quality of life. This rigorous study synthesized evidence drawn from multiple major medical databases — including PubMed, Embase, and the Cochrane Central Register of Controlled Trials — to evaluate how robotic interventions influence a range of functional outcomes in this patient population. By consolidating fragmented clinical trial data into a coherent, evidence-based assessment, Luo's work provides clinicians and rehabilitation specialists with clearer guidance on integrating emerging technologies into therapeutic practice. Although published in 2025 and in the early stages of accumulating citations, this meta-analysis addresses a timely and growing field as robotic rehabilitation tools become increasingly accessible in clinical settings. Luo's research reflects a broader commitment to advancing evidence-based care for individuals living with complex neurological conditions, and their work is poised to grow in influence as the field continues to evolve.
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