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

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 nearly boundless for these new technologies to revolutionize radiology image analysis and interpretation. In this editorial, I co...

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Published in:Abdominal Radiology Vol. 44; no. 6; pp. 1985 - 1990
Main Author: Summers, Ronald M.
Format: Journal Article
Published: Springer Nature Jun2019
Online Access:View this record in EBSCOhost
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        atl: Are we at a crossroads or a plateau? Radiomics and machine learning in abdominal oncology imaging.
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        au: Summers, Ronald M.
        affil: Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences Department, National Institutes of Health Clinical Center, MSC 1182, Bldg. 10 Room 1C224D, 20892-1182, Bethesda, MD, USA
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      ab: 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 nearly boundless for these new technologies to revolutionize radiology image analysis and interpretation. In this editorial, I compare the expectations with the realities with particular attention to applications in abdominal oncology imaging. I explore whether these technologies will leave us at a crossroads to an exciting future or to a sustained plateau and disillusionment.
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    language: English
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