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What is Machine Learning Models For Clinical and Structural Knee Osteoarthritis Prediction Recent Advancements and Future Directions about?

This review discusses recent advancements in machine learning (ML) models for predicting clinical and structural outcomes in knee osteoarthritis (OA). It highlights the application of ML in predicting patient-reported outcomes, radiographic progression, and total knee replacement outcomes, emphasizing the potential for personalized interventions. Future directions include integrating multimodal data, developing interpretable models, and enhancing external validation to improve early detection and risk strat

Author

Aquinoo Bia

Language

EN