Nathan Ng

About

Nathan Ng is a leading researcher in orthopaedic surgery, specializing in the comparative effectiveness of robotic-arm assisted arthroplasty versus manual techniques for joint replacement. His major contributions center on systematic reviews and meta-analyses that rigorously evaluate the accuracy, patient-reported outcomes, complications, and learning curves of robotic-assisted total knee, total hip, and unicompartmental knee arthroplasty. His most cited work, a 2021 meta-analysis on robotic-arm assisted total knee arthroplasty (258 citations), demonstrated improved component positioning and patient satisfaction compared to manual surgery. Another highly influential study (140 citations) assessed robotic-assisted total hip arthroplasty, highlighting its learning curve and accuracy benefits. Ng’s research provides critical evidence for surgeons adopting robotic technology, with his papers collectively cited over 488 times, reflecting their impact on clinical practice. His work is notable for synthesizing large datasets to guide decision-making in joint replacement surgery, making him a key voice in the ongoing debate over the value of robotics in orthopaedics.

Research Focus

Key Achievements

Top Papers

1. 1
   Robotic‐arm assisted total knee arthroplasty is associated with improved accuracy and patient reported outcomes: a systematic review and meta‐analysis

   258 citations · 2021
2. 2
   Robotic arm-assisted versus manual total hip arthroplasty

   140 citations · 2021
3. 3
   Robotic arm-assisted versus manual unicompartmental knee arthroplasty

   83 citations · 2022
4. 4
   Correction to: Robotic‑arm assisted total knee arthroplasty is associated with improved accuracy and patient reported outcomes: a systematic review and meta‑analysis

   7 citations · 2021

Key Collaborators

Contact & Links