Advita Ortho Showcases AI-Driven Surgical Precision at CAOS 2026

The company’s presentation in Gainesville highlights a strategic push to integrate artificial intelligence into standard orthopedic workflows. Central to the findings is a study on the reliability of AI-generated shoulder twins, which earned the ISTELAR Emerging Research Best Technical Podium Award. This research addresses the critical need for surgeons to identify model uncertainty, fostering greater trust in automated clinical decision-making.

Beyond shoulder arthroplasty, the data extends to ankle and knee procedures. New work on total ankle arthroplasty demonstrates how AI-driven bone segmentation can automate image processing, significantly reducing the manual planning burden. Meanwhile, knee studies leveraged GPS-derived intraoperative data to analyze dynamic alignment patterns and soft tissue management in patients suffering from severe varus deformity.

Laurent Angibaud, Senior Vice President of Advanced Surgical Technologies, emphasized that these tools aim to make personalized orthopedic care more practical for clinicians. By combining machine learning with surgical navigation systems like Advita GPS™, the company is building a case for technology that enhances precision without disrupting the established surgical environment.