2016 new horizons lecture: beyond imaging—radiology of tomorrow

H Hricak - Radiology, 2018 - pubs.rsna.org
This article is based on the New Horizons lecture delivered at the 2016 Radiological Society
of North America Annual Meeting. It addresses looming changes for radiology, many of …

[PDF][PDF] Data science: big data, machine learning, and artificial intelligence

RC Carlos, CE Kahn, S Halabi - Journal of the American College …, 2018 - researchgate.net
A quick search on PubMed. gov for each of the terms that have been used to describe some
aspect of data science exceeded 10,000 results per term with artificial intelligence (AI) …

The long route to standardized radiomics: unraveling the knot from the end

CK Kuhl, D Truhn - Radiology, 2020 - pubs.rsna.org
Prof Kuhl is the chair of the Department of Diagnostic and Interventional Radiology at RWTH
Aachen University. She is a board-certified radiologist, interventional radiologist, and …

[HTML][HTML] Augmented radiology: looking over the horizon

CM Lincoln, R Chatterjee, MH Willis - Radiology: Artificial Intelligence, 2019 - pubs.rsna.org
Radiology: Artificial Intelligence 2019; 1 (1): e180039• https://doi. org/10.1148/ryai.
2019180039• Content codes:•© RSNA, 2019 media poster child for practices primed for …

Setting sail: 2017

HY Kressel - Radiology, 2017 - pubs.rsna.org
lecture on NMR imaging that I attended at the University of Pennsylvania, Britton Chance, a
renowned biophysicist gleefully quipped that NMR stood for “No More Radiology.” …

Translational radiomics: Defining the strategy pipeline and considerations for application—Part 1: From methodology to clinical implementation

F Shaikh, B Franc, E Allen, E Sala, O Awan… - Journal of the American …, 2018 - Elsevier
Enterprise imaging has channeled various technological innovations to the field of clinical
radiology, ranging from advanced imaging equipment and postacquisition iterative …

Bits and bytes: the future of radiology lies in informatics and information technology

JA Brink, RL Arenson, TM Grist, JS Lewin… - European radiology, 2017 - Springer
Advances in informatics and information technology are sure to alter the practice of medical
imaging and image-guided therapies substantially over the next decade. Each element of …

Translational radiomics: Defining the strategy pipeline and considerations for application—Part 2: From clinical implementation to enterprise

F Shaikh, B Franc, E Allen, E Sala, O Awan… - Journal of the American …, 2018 - Elsevier
Enterprise imaging has channeled various technological innovations to the field of clinical
radiology, ranging from advanced imaging equipment and postacquisition iterative …

Are we at a crossroads or a plateau? Radiomics and machine learning in abdominal oncology imaging

RM Summers - Abdominal Radiology, 2019 - Springer
Advances in radiomics and machine learning have driven a technology boom in the
automated analysis of radiology images. For the past several years, expectations have been …

Artificial intelligence and machine learning in radiology: current state and considerations for routine clinical implementation

JL Wichmann, MJ Willemink… - Investigative …, 2020 - journals.lww.com
Although artificial intelligence (AI) has been a focus of medical research for decades, in the
last decade, the field of radiology has seen tremendous innovation and also public focus …