Knee-xRAI: An Explainable AI Framework for Automatic Kellgren-Lawrence Grading of Knee Osteoarthritis
Learn how Knee-xRAI, an explainable AI framework, automates Kellgren-Lawrence grading of knee osteoarthritis using modular feature quantification, improving upon current deep learning approaches.
- Implement Knee-xRAI using a deep learning library like PyTorch or TensorFlow to quantify joint space narrowing, osteophytes, and subchondral sclerosis.
- Train the model on a dataset of radiographic images with corresponding KL grades to improve accuracy.
- Evaluate the performance of Knee-xRAI using metrics such as precision, recall, and F1-score.
- Compare the results of Knee-xRAI with traditional deep learning approaches to assess its explainability and transparency.
- Integrate Knee-xRAI into clinical workflows to support radiologists and orthopedic specialists in diagnosing knee osteoarthritis.
Radiologists, orthopedic specialists, and AI researchers can benefit from this framework, as it provides a transparent and explainable approach to diagnosing knee osteoarthritis.
💡 Knee-xRAI provides a modular and transparent approach to diagnosing knee osteoarthritis, improving upon current deep learning approaches by quantifying specific radiographic features.
🚀 Knee-xRAI: An explainable AI framework for automatic Kellgren-Lawrence grading of knee osteoarthritis 📸💡
Key Takeaways
Learn how Knee-xRAI, an explainable AI framework, automates Kellgren-Lawrence grading of knee osteoarthritis using modular feature quantification, improving upon current deep learning approaches.
Full Article
Abstract:
arXiv:2604.23435v1 Announce Type: cross Abstract: Radiographic grading of knee osteoarthritis (KOA) with the Kellgren-Lawrence (KL) system is limited by inter-reader variability and the opacity of current deep learning approaches, which predict KL grades directly from images without decomposing structural features. We present Knee-xRAI, a modular framework that independently quantifies the three cardinal radiographic features of KOA (joint space narrowing [JSN], osteophytes, and subchondral scle
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