Automated segmentation using Artificial Intelligence (AI) has been proposed as an alternative to manual segmentation, which aims to address the limitations of traditional segmentation methods(e.g subjective to the clinical experience). AI-based segmentation can provide more accurate and objective results, thus improving the accuracy and reliability of OA diagnosis and treatment. The proposed solution uses Neural Network algorithms to automatically segment the knee joints from MRI images. The 3D mesh is then created based on segmentations that provide new insights into visualization and clinical observations. A set of biomarkers (MSK Bio) are calculated providing valuable insights into the extent and severity of OA, which can be used to inform clinical decision-making. We will provide a report which summarizes the exam with a comprehensive assessment of the knee joint.