Sung‐Hui Tseng
Papers
1
Total Citations
28
H-Index
1
About
Dr. Sung‐Hui Tseng is a leading researcher in neurorehabilitation and biomedical engineering, with a focus on leveraging machine learning to enhance functional recovery in patients with neurological disorders. Her most-cited work, "Prediction of robotic neurorehabilitation functional ambulatory outcome in patients with neurological disorders" (2021, 28 citations), addresses the longstanding challenge of inconsistent outcomes in robotic-assisted gait training (RAGT) for post-stroke survivors. By applying advanced machine learning algorithms, Dr. Tseng developed predictive models that can forecast functional ambulatory outcomes, enabling clinicians to tailor neurorehabilitation strategies more effectively. This contribution bridges the gap between robotics and personalized medicine, offering a data-driven approach to optimize recovery trajectories. Her research has significant implications for improving the efficacy of RAGT, reducing variability in patient responses, and advancing the integration of artificial intelligence in clinical rehabilitation. With a growing citation impact, Dr. Tseng’s work is shaping the future of neurorehabilitation by making robotic therapies more precise and patient-specific, ultimately enhancing quality of life for individuals with neurological impairments.
Research Focus
Key Achievements
Top Papers
- 1