RadNet Experts Discuss the AI Revolution in Applied Radiology

The coming year brings a revolution in the application of artificial intelligence to computed tomography (CT) and magnetic resonance (MR) procedures. AI products have been refined to such an extent that the advantages—lower radiation dose, higher image quality, more efficient scanning, and streamlined workflows—are clear. Lawrence Tanenbaum, MD, FACR, and Suzie Bash, MD, discuss how deep learning reconstruction (DLR) tools are leveraged in CT and MR and the possibilities for the future of imaging.

Deep Learning: Promising to Revolutionize Image Reconstruction