AI Tool Helps Reduce Re-Take Knee X-rays

Re-takes for knee X-rays are common, leading to unnecessary radiation exposures and over-use of radiology personnel. But, until now, little has been done to help alleviate this situation. That's where investigators from Osaka University in Japan have stepped in. Using a deep convolutional neural network they developed, they can potentially help technologists identify and classify tilt direction errors and guide them to the correct positioning for lateral knee X-rays. The team, led by T. Ishida, from the medical physics and engineering department at Osaka University, published their findings recently in Radiography.