Global medical technology company Advita Ortho presented nine scientific studies at the 26th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery in Matsuyama, Japan, highlighting research on AI-generated shoulder digital twins, automated surgical planning and navigation technologies across shoulder, knee and ankle procedures.
The studies focused on using surgical data and AI to support more personalized orthopedic care and improve procedure planning, execution and evaluation, according to a June 19 news release.
Among the research presented was a study examining methods to assess the quality and reliability of AI-generated shoulder digital twins. The work received the society’s Emerging Research Best Technical Podium Award.
Additional studies evaluated the intraoperative accuracy of Advita GPS, the company’s surgical navigation system, in complex shoulder arthroplasty cases and examined the learning curve associated with navigated reverse total shoulder arthroplasty.
Researchers also shared findings on automated bone segmentation for total ankle arthroplasty planning and multiple studies using GPS-derived surgical data and machine learning to evaluate knee alignment strategies, technology-enabled workflows and factors associated with outcomes after joint replacement.
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