Review ArticlesRecent and Upcoming Technological Developments in Computed Tomography High Speed, Low Dose, Deep Learning, MultienergyLell, Michael M. MD*; Kachelrieß, Marc PhD†Author Information From the *Department of Radiology and Nuclear Medicine, Klinikum Nürnberg, Paracelsus Medical University, Nuremberg †Division of X-ray Imaging and CT (E025), German Cancer Research Center (DKFZ), Heidelberg, Germany. Received for publication April 15, 2019; and accepted for publication, after revision, June 25, 2019. Conflicts of interest and sources of funding: none declared. Correspondence to: Michael M. Lell, MD, Department of Radiology and Nuclear Medicine, Klinikum Nürnberg, Paracelsus Medical University, Prof.-Ernst-Nathan-Straße 1, 90419 Nuernberg, Germany. E-mail: email@example.com. Online date: September 17, 2019 Investigative Radiology: January 2020 - Volume 55 - Issue 1 - p 8-19 doi: 10.1097/RLI.0000000000000601 Buy Metrics Abstract The advent of computed tomography (CT) has revolutionized radiology, and this revolution is still going on. Starting as a pure head scanner, modern CT systems are now able to perform whole-body examinations within a couple of seconds in isotropic resolution, single-rotation whole-organ perfusion, and temporal resolution to fulfill the needs of cardiac CT. Because of the increasing number of CT examinations in all age groups and overall medical-driven radiation exposure, dose reduction remains a hot topic. Although fast gantry rotation, broad detector arrays, and different dual-energy solutions were main topics in the past years, new techniques such as photon counting detectors, powerful x-ray tubes for low-kV scanning, automated image preprocessing, and machine learning algorithms have moved into focus today. The aim of this article is to give an overview of the technical specifications of up-to-date available CT systems and recent hardware and software innovations for CT systems in the near future. Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.