Development and Validation of an Interpretable Deep Learning Model for Automated Kellgren–Lawrence Grading of Knee Osteoarthritis Using X‐Ray Imaging
ABSTRACT Accurate and reproducible Kellgren–Lawrence grading of radiographic knee osteoarthritis remains challenging, particularly for intermediate grades and anatomically heterogeneous compartments. We present X‐VIG, an interpretable deep learning framework integrating paired anteroposterior and lateral knee radiograp...