Annotated Dataset for Knee Arthritis Detection

The KneeArthroScan dataset is an essential tool for researchers and developers focused on AI technologies in orthopedic health, particularly for knee arthritis diagnosis. It features high-resolution medical images, which experts have carefully annotated, making it perfect for developing and testing machine learning models. The dataset categorizes images into five stages: normal, doubtful, mild, moderate, and severe. Therefore, it helps create precise diagnostic models. For instance, normal images serve as a baseline, while doubtful images reveal early arthritis signs, useful for testing AI algorithms. As arthritis progresses, mild, moderate, and severe categories show clearer symptoms, crucial for understanding the disease and customizing treatment plans. Additionally, the dataset’s detailed images enhance the accuracy of AI diagnostics, enabling early detection and timely intervention. Consequently, healthcare professionals can create tailored treatment plans, leading to improved patient outcomes.