Ming Yeong Teo
Nanyang Technological University, National Neuroscience Institute
Papers
8
Total Citations
54
H-Index
5
About
Ming Yeong Teo is a pioneering researcher in surgical robotics, with key contributions spanning urology and neurosurgery. His work focuses on developing robotic systems for minimally invasive procedures, particularly transurethral laser resection of the prostate and skull-base surgery. Teo’s most cited paper (2001, 20 citations) addresses the challenges of transurethral robotic laser resection using the LaserTrode lightguide, highlighting longer operating times and steep learning curves compared to standard TURP. He further advanced robotic skull-base surgery through image-guided manipulator planning (2002, 10 citations) and a robotic neuro-surgery system calibrated with motion tracking (2003, 7 citations). His 2005 study on robotic skull-base surgery underscores the delicacy of drilling near complex cranial structures for deep-seated tumors. Teo also explored artificial neural networks to enhance vision-based robot flexibility (1997, 5 citations), demonstrating interdisciplinary innovation. With over 50 total citations, his work has laid foundational methodologies for safer, more precise robotic interventions in challenging anatomical regions, bridging engineering and clinical practice to improve patient outcomes.
Research Focus
Key Achievements
Top Papers
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- 4Robotic skull base surgery5 citations · 2005
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- 7Hexapod Intervention Planning for a Robotic Skull-Base Surgery System2 citations · 2001
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