Advita Ortho, today announced the presentation of nine scientific studies at the 26th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS), highlighting new research on AI-generated shoulder digital twins, automated planning and surgical navigation across shoulder, knee and ankle procedures.
“AI is helping unlock new possibilities for personalized orthopedic care,” said Laurent Angibaud, Senior Vice President of Advanced Surgical Technologies at Advita Ortho. “Our goal is to transform data into practical clinical insights that support surgeon decision-making, enhance confidence and ultimately improve patient care.”
...Our goal is to transform data into practical clinical insights that support surgeon decision-making, enhance confidence and ultimately improve patient care....
Laurent AngibaudSenior Vice President of Advanced Surgical Technologies, Advita Ortho
The research reflects a growing focus on transforming surgical data into clinical intelligence that is designed to help surgeons plan procedures with greater confidence, execute more precisely and better understand the factors influencing patient outcomes.
Among the featured presentations was research exploring new methods to assess the quality and reliability of AI-generated shoulder twins. As artificial intelligence becomes increasingly integrated into surgical workflows, the ability to evaluate model quality and identify areas of uncertainty can play an important role in building greater confidence in clinical decision-making. The work was recognized with the ISTELAR Emerging Research Best Technical Podium Award, underscoring the growing interest in technologies that support the responsible adoption of AI in orthopedic surgery.
Additional shoulder research evaluated the intraoperative accuracy of Advita GPS™, surgical navigation system, in complex arthroplasty cases involving augmented glenoid components, as well as the learning curve associated with navigated reverse total shoulder arthroplasty. Together, the findings add to a growing body of evidence supporting enabling technologies designed to enhance surgical precision while seamlessly integrating into surgical workflows.
In addition, new research on total ankle arthroplasty focused on automated bone segmentation for surgical planning and navigation, demonstrating the potential for AI-driven automation to streamline image processing and reduce manual planning requirements, while supporting patient-specific procedures.
Finally, findings were shared from multiple studies leveraging GPS-derived intraoperative data and machine learning outcomes to better understand dynamic knee alignment patterns, evaluate technology-enabled workflows and explore factors associated with clinical outcomes following joint replacement. The research examined functional alignment strategies in total knee arthroplasty and the role of soft tissue management in patients with severe varus deformity.
Collectively, the studies highlight the convergence of AI, navigation and data science to support more personalized planning and execution across the orthopedic care continuum.
“CAOS continues to be an important forum for advancing the science behind computer-assisted orthopedic surgery,” said Angibaud. “We are proud to contribute research that helps move orthopedics forward with technologies designed to make personalized care more practical and accessible.”
See how Advita GPS transforms intraoperative data into actionable clinical intelligence www.AdvitaAI.com.
