Papers
3
Total Citations
71
H-Index
3
About
Keng Siang Lee is a rising surgical researcher whose work sits at the intersection of artificial intelligence, robotic surgery, and pediatric neurosurgery. His primary research areas include the intraoperative application of AI in robotic surgery, the standardization of surgical innovation reporting, and the refinement of stereotactic techniques for epilepsy treatment. Lee’s major contributions are highlighted by his scoping review on AI in robotic surgery (49 citations), which systematically categorized emerging applications by their purpose, autonomy level, and development stage—providing a critical roadmap for the field. He has also advanced methodological rigor in surgery through his systematic review of robot-assisted anti-reflux surgery, applying the IDEAL framework to evaluate reporting standards. In pediatric neurosurgery, Lee demonstrated the accuracy of robot-assisted stereotactic MRI-guided laser ablation for treating epileptogenic foci in children, achieving precise fiber placement that enhances safety and outcomes. His work bridges cutting-edge technology with clinical practice, offering valuable insights for researchers and clinicians alike. With a growing citation impact and a focus on both innovation and accountability, Lee is shaping the future of autonomous and robot-assisted surgical care.
Research Focus
Key Achievements
Top Papers
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