Intended Use

Software intended for use by orthopedic healthcare professionals in the preoperative planning of knee osteotomy procedures. Processes CT images of the lower limb to provide automated segmentation, 3D reconstruction, quantitative measurement of limb alignment, and anatomical visualization for surgical planning support.

Technology

Cloud-based, deep-learning model for bone segmentation; deterministic geometric algorithms for quantitative measurements; browser-accessed web interface; GPU-accelerated inference; cybersecurity controls; no patient-contacting components.

Performance

Performance testing included retrospective validation of segmentation, landmark localization, angle measurement, 3D STL representation, and workflow function, with both internal and independent external datasets. All prespecified acceptance criteria were met (e.g., Dice ≥ 0.95, HD95 ≤ 3.5 mm for segmentation; mean Dice 0.9916–0.9965, mean landmark error 3.6–4.2 mm). No unresolved safety concerns. Clinical outcome improvements were not assessed.

Predicate Devices

No predicate devices specified

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