Tsong‐Hai Lee
Papers
2
Total Citations
64
H-Index
2
About
Dr. Tsong‐Hai Lee is a leading figure in stroke neurology, whose work bridges cutting-edge data science with acute clinical care. His primary research focuses on the application of machine learning to predict motor recovery after stroke, a critical step toward personalized rehabilitation. In his landmark 2020 study, Dr. Lee demonstrated how contemporary task-oriented interventions can be optimized using algorithmic predictions, achieving 53 citations for its pioneering approach to outcome forecasting. Beyond predictive analytics, he is a key voice in global stroke policy, evidenced by his leadership in the Asian Stroke Advisory Panel. During the COVID-19 pandemic, he co-authored the panel’s consensus statement (2021, 11 citations), providing vital guidance for maintaining stroke care across Asia’s diverse healthcare systems—a region where over two-thirds of the world’s strokes occur. Dr. Lee’s work has been instrumental in shaping how clinicians integrate artificial intelligence into rehabilitation planning while ensuring resilient stroke services during health crises. His dual focus on technological innovation and public health preparedness marks him as a transformative researcher in modern cerebrovascular medicine.
Research Focus
Key Achievements
Top Papers
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