Matthew Song Peng Ng
Papers
1
Total Citations
3
H-Index
1
About
Dr. Matthew Song Peng Ng is an emerging leader in orthopaedic innovation, whose research centers on the intersection of artificial intelligence and robotic-assisted joint replacement surgery. His most notable contribution is the development of a novel AI algorithm for soft tissue balancing and bone cuts in robotic total knee arthroplasty (rTKA), which earned him the prestigious P Balasubramaniam Award at the 2024 Singapore Orthopaedic Association Annual Scientific Meeting. This work, published in 2025, demonstrates that his AI-driven approach significantly improves both surgical accuracy and operative efficiency compared to traditional manual planning. By automating the complex, multi-degree-of-freedom positioning of femoral and tibial implants, Dr. Ng addresses a critical challenge in rTKA—reducing intraoperative decision-making time while enhancing precision in achieving surgeon-defined targets for bone cuts, gaps, and alignment. Although his career is early-stage, with his award-winning paper already garnering 3 citations, the clinical implications of his algorithm promise to streamline workflows and improve patient outcomes. Dr. Ng’s work positions him at the forefront of a paradigm shift toward data-driven, automated surgical planning in orthopaedics.
Research Focus
Key Achievements
Top Papers
- 1