  This paper introduces MuRAD (Musculoskeletal Radiograph Abnormality Detection
tool), a tool that can help radiologists automate the detection of
abnormalities in musculoskeletal radiographs (bone X-rays). MuRAD utilizes a
Convolutional Neural Network (CNN) that can accurately predict whether a bone
X-ray is abnormal, and leverages Class Activation Map (CAM) to localize the
abnormality in the image. MuRAD achieves an F1 score of 0.822 and a Cohen's
kappa of 0.699, which is comparable to the performance of expert radiologists.
