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The study developed an image-based machine learning model using the Xception model to detect loosening in total knee arthroplasty with high accuracy and predictability. The model analyzed knee x-ray images and was able to identify loosening with 96.3% accuracy. Class activation maps confirmed the model utilized similar features to clinical specialists for detection.

Author

lauchunman1

Language

EN