Advita Ortho Showcases New AI-Driven Research Advancing Personalized Joint Replacement

Advita Ortho presented 16 new research studies at last month’s 2026 Orthopaedic Research Society (ORS) Annual Meeting, highlighting the ways in which artificial intelligence (AI), machine learning, and advanced imaging analytics enable more personalized approaches to joint replacement.

Advita’s research included a featured podium presentation on total knee arthroplasty and multiple studies in computed tomography (CT)-based musculoskeletal radiomics for shoulder arthroplasty, an emerging field the company reportedly is pioneering.

“At Advita, we are advancing a data-powered approach to orthopedics that connects imaging, machine learning and surgical technologies,” said Laurent Angibaud, senior vice president of Advanced Surgical Technologies. “Our focus is on delivering practical, intelligent solutions that help surgeons plan with confidence, execute with precision, and improve patient outcomes.”

The company’s podium presentation evaluated a machine learning-based knee classification approach designed to support patient-specific alignment strategies. The research shows the ways alignment phenotypes identified under controlled load can guide intraoperative decision-making. Early findings indicate the potential to improve consistency, reproducibility, and clinical outcomes.

Advita also presented multiple studies advancing CT-based radiomics to more quantifiably characterize shoulder muscle anatomy and better inform surgical planning. Findings showed that while CT reconstruction settings can impact radiomic measurements of muscle quality, select features remain stable, supporting their potential as reliable biomarkers.

Additional studies demonstrated that radiomics can differentiate glenoid deformity paterns and, when combined with clinical data, improve the ability to predict postoperative outcomes to facilitate more informed, data-driven decisions before shoulder surgery.

Radiomics has the potential to fundamentally change how shoulder surgeons evaluate their patients,” stated Chris Roche, senior vice president of Extremities. “By integrating these machine learning-based analytical methods into our research and development efforts, we are creating new techniques to quantify anatomy, differentiate and classify disease patterns for a variety of different surgical procedures—helping the shoulder surgeon make treatment decisions before the patient even enters the operating room.”

Advita’s research at ORS 2026 spanned knee, shoulder and ankle arthroplasty, reinforcing its commitment to advancing orthopedic care through high-quality implants and intelligent technologies powered by data and AI.

Advita Ortho specializes in high-quality implants and integrated surgical technologies powered by data, artificial intelligence, and machine learning. The company is based in Gainesville, Fla.