Exactech Showcases AI and Radiomics Research at ORS 2025

Exactech, a leader in medical technology, presented 15 new studies at the 2025 Orthopaedic Research Society (ORS) Annual Meeting in Phoenix, Arizona, announced in a press release. These studies focused on advancements in total joint arthroplasty and trauma solutions, leveraging artificial intelligence (AI) and machine learning (ML) for image segmentation, predictive modeling, and CT image-based radiomic analysis.

One notable study utilized ML to analyze pre-operative CT scan data of the deltoid muscle, identifying stable radiomic features that predict shoulder motion before and after arthroplasty. This research offers a quantitative method for assessing the deltoid, which could enhance pre-operative planning and clinical decision support tools.

Additionally, Exactech's research confirmed the superior oxidation resistance and mechanical durability of their Activit-E® polyethylene compared to conventional ultra-high-molecular-weight polyethylene. This material, designed to enhance implant longevity, outperformed in knee wear testing and simulated aging conditions.

The company also explored a novel 3D classification of total knee arthroplasty patients using unsupervised ML clustering models, applicable to their Newton® Knee balancing technology.