radiology

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

Researchers propose a landmark-free automated workflow using Implicit Neural Shape Functions (INSF) to assess lower-limb alignment from knee radiographs. The method encodes anatomy into a compact latent space and regresses clinical measurements directly, achieving performance comparable to manual methods and state-of-the-art landmark-based approaches. Trained on 566 radiographs and tested on internal and external datasets, the approach offers flexibility for extension to new tasks.