Landmark-free Assessment of Lower-limb Alignment with Implicit Neural Shape Functions from Knee Radiographs

Radiographic assessment of lower-limb alignment (LLA) is important for predicting joint health and surgical outcomes in total knee arthroplasty. Traditional measurement methods are manual and time-consuming, while recent machine learning approaches typically rely on locating a fixed set of anatomical landmarks. This dependence limits flexibility and may require re-annotation when clinical definitions change. To address this, we propose an automated workflow using Implicit Neural Shape Functions

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ethics.ai (13 June 2026), “Landmark-free Assessment of Lower-limb Alignment with Implicit Neural Shape Functions from Knee Radiographs,” evidence record 1028, https://ethics.ai/record/1028 (originally published by arXiv).

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