Siang Huei Leong
Creative Technology (Singapore), Institute of Medical Biology
Papers
3
Total Citations
43
H-Index
3
About
Siang Huei Leong is at the forefront of integrating artificial intelligence with robotic systems to revolutionize interventional radiology. His research focuses on developing autonomous, image-guided platforms for precision needle-based procedures, particularly in transthoracic lung biopsy. Leong’s major contributions include the creation of an AI-based needle-path generator that optimizes trajectory planning, and a segmentation software that automates target identification—both designed to enhance accuracy and reduce procedural risks. His work on a robot-assisted CT-guided targeting system, which operates without positional sensors using pure image navigation, represents a significant leap toward simplifying and democratizing stereotactic interventions. With his most-cited papers collectively garnering over 40 citations since 2022, Leong’s innovations are already shaping the next generation of minimally invasive diagnostics. His experimental validations using phantom and animal models demonstrate a rigorous translational approach, bridging computational algorithms with clinical reality. For students and researchers, Leong’s work exemplifies how AI and robotics can transform traditional radiological workflows into safer, more efficient, and more accessible procedures.
Research Focus
Key Achievements
Top Papers
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