Chul‐Won Ha
Papers
2
Total Citations
136
H-Index
2
About
Chul-Won Ha is a distinguished orthopedic researcher whose work has significantly advanced the field of total knee arthroplasty (TKA), with a particular focus on surgical precision, component alignment, and the integration of robotic technology into joint replacement procedures. His research addresses one of the most critical challenges in knee replacement surgery — achieving optimal mechanical alignment — recognizing that even minor deviations can lead to premature implant failure, abnormal wear, and patellofemoral complications. Ha's most impactful contribution, a 2012 cadaveric study garnering 92 citations, demonstrated through rigorous multiparameter quantitative three-dimensional CT assessment that robot-assisted TKA offers measurable advantages over conventional techniques in component alignment accuracy. Complementing this, his second highly cited work (44 citations) further validated that robotic assistance enhances precision even within the technically demanding context of minimally invasive surgery. Together, these studies helped establish an evidence base for adopting robotic platforms in knee arthroplasty at a time when the technology was still emerging. Ha's research has meaningfully shaped how surgeons approach implant positioning, influencing both clinical practice and the broader conversation around technology-assisted orthopedic surgery, making his work essential reading for researchers and clinicians exploring innovations in joint reconstruction.
Research Focus
Key Achievements
Top Papers
- 1
- 2
Key Collaborators
Related papers
- Robot-assisted Implantation Improves the Precision of Component Position in Minimally Invasive TKA
- Comparison of robot-assisted and conventional total knee arthroplasty: A controlled cadaver study using multiparameter quantitative three-dimensional CT assessment of alignment
- Better accuracy and reproducibility of a new robotically‐assisted system for total knee arthroplasty compared to conventional instrumentation: a cadaveric study
- Robot‐assisted total knee arthroplasty improves mechanical alignment and accuracy of component positioning compared to the conventional technique
- Image-Free Robotic-Assisted Total Knee Arthroplasty Improves Implant Alignment Accuracy: A Cadaveric Study
Researchers in this area
Labs working in this area
- Surgical Robotics and Allied Technologies AreaItaly
- Advanced Robotic Technologies for Surgery (ARTS) Lab, University of Texas at AustinUnited States
- Surgical Robotics LabNetherlands
- Advanced Robotics and Controls Laboratory (ARCLab)United States
- Surgical Robotics Lab - University of Twente and University Medical Center GroningenNetherlands
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