Radiology, News, Education, Service

While advances in hybrid imaging and other cutting-edge modalities seem to get all the attention, digital radiography (DR) maintains its solid foundation of diagnostic support for imaging centers, emergency departments, outpatient clinics, and mobile operations worldwide. Based on the myriad of presentations scheduled for RSNA 2019, DR arguably might be the modality that will benefit most from artificial intelligence (AI) and deep-learning algorithms. As DR-specific applications are tested and validated, radiologists could soon turn to AI to generate clinically relevant x-ray reports, diagnose fractures and other ailments throughout the body, visualize motion, and increase the accuracy of their readings. AI also is expected to significantly reduce the time and effort it takes for some of the tasks that are necessary but tedious and time-consuming with digital radiography, such as double reading and confirming normal results. Beyond AI, researchers continue to explore hardware improvements in DR systems and develop new technologies to sharpen image quality and shorten exam and procedure times.