Artificial Intelligence and Machine Learning for Osteoarthritis and Cartilage Assessment

Key Points

• Artificial intelligence (AI) has been used for analysis of radiographs to automate Kellgren�Lawrence grading. 
• For MR imaging, AI has been used for segmentation and cartilage measurement, streamlining workflows and supporting scoring systems like WORMS, MOAKS, and WOMAC. 
• AI has also been used to optimize MR imaging sequences, accelerate image acquisition and reconstruction, and denoise images. 
• These technologies have the potential to reduce radiologist workload, enhance reproducibility, with the potential to transform clinical practices through predictive analytics and multimodal data integration.