Novel artificial intelligence algorithm for soft tissue balancing and bone cuts in robotic total knee arthroplasty improves accuracy and surgical duration.

Journal: Arthroplasty (London, England)
Published Date: Aug 4, 2025

Abstract

BACKGROUND: Robotic Total Knee Arthroplasty (rTKA) has become increasingly popular. Intraoperative manual planning of femur and tibia implant positions in all degrees of freedom to achieve surgeon-defined targets and limits of bone cuts, gaps, and alignment is challenging. The final manually defined solution may not be optimal, and surgical duration increases significantly. We aim to demonstrate the effectiveness of our novel algorithm in terms of accuracy and surgical duration.

Authors

  • Matthew Song Peng Ng
    Department of Orthopaedics, National University Hospital, National University Health System, Singapore, Singapore.
  • Ryan Wai Keong Loke
    Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore.
  • Melvin Kian Loong Tan
    Department of Orthopaedics, National University Hospital, National University Health System, Singapore, Singapore.
  • Yau Hong Ng
    Department of Orthopaedics, National University Hospital, National University Health System, Singapore, Singapore.
  • Zi Qiang Glen Liau
    Department of Orthopaedics, National University Hospital, National University Health System, Singapore, Singapore. glen_liau@nuhs.edu.sg.

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