Development and Validation of an Interpretable Deep Learning Model for Automated Kellgren-Lawrence Grading of Knee Osteoarthritis Using X-Ray Imaging.
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 radiographs via vi...