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The Bright, Artificial Intelligence-Augmented Future of Neuroimaging Reading

Radiologists are among the first physicians to be directly affected by advances in computer technology. Computers are already capable of analyzing medical imaging data, and with decades worth of digital information available for training, will an artificial intelligence (AI) one day signal the end o...

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Autores principales: Hainc, Nicolin, Federau, Christian, Stieltjes, Bram, Blatow, Maria, Bink, Andrea, Stippich, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613097/
https://www.ncbi.nlm.nih.gov/pubmed/28983278
http://dx.doi.org/10.3389/fneur.2017.00489
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author Hainc, Nicolin
Federau, Christian
Stieltjes, Bram
Blatow, Maria
Bink, Andrea
Stippich, Christoph
author_facet Hainc, Nicolin
Federau, Christian
Stieltjes, Bram
Blatow, Maria
Bink, Andrea
Stippich, Christoph
author_sort Hainc, Nicolin
collection PubMed
description Radiologists are among the first physicians to be directly affected by advances in computer technology. Computers are already capable of analyzing medical imaging data, and with decades worth of digital information available for training, will an artificial intelligence (AI) one day signal the end of the human radiologist? With the ever increasing work load combined with the looming doctor shortage, radiologists will be pushed far beyond their current estimated 3 s allotted time-of-analysis per image; an AI with super-human capabilities might seem like a logical replacement. We feel, however, that AI will lead to an augmentation rather than a replacement of the radiologist. The AI will be relied upon to handle the tedious, time-consuming tasks of detecting and segmenting outliers while possibly generating new, unanticipated results that can then be used as sources of medical discovery. This will affect not only radiologists but all physicians and also researchers dealing with medical imaging. Therefore, we must embrace future technology and collaborate interdisciplinary to spearhead the next revolution in medicine.
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spelling pubmed-56130972017-10-05 The Bright, Artificial Intelligence-Augmented Future of Neuroimaging Reading Hainc, Nicolin Federau, Christian Stieltjes, Bram Blatow, Maria Bink, Andrea Stippich, Christoph Front Neurol Neuroscience Radiologists are among the first physicians to be directly affected by advances in computer technology. Computers are already capable of analyzing medical imaging data, and with decades worth of digital information available for training, will an artificial intelligence (AI) one day signal the end of the human radiologist? With the ever increasing work load combined with the looming doctor shortage, radiologists will be pushed far beyond their current estimated 3 s allotted time-of-analysis per image; an AI with super-human capabilities might seem like a logical replacement. We feel, however, that AI will lead to an augmentation rather than a replacement of the radiologist. The AI will be relied upon to handle the tedious, time-consuming tasks of detecting and segmenting outliers while possibly generating new, unanticipated results that can then be used as sources of medical discovery. This will affect not only radiologists but all physicians and also researchers dealing with medical imaging. Therefore, we must embrace future technology and collaborate interdisciplinary to spearhead the next revolution in medicine. Frontiers Media S.A. 2017-09-21 /pmc/articles/PMC5613097/ /pubmed/28983278 http://dx.doi.org/10.3389/fneur.2017.00489 Text en Copyright © 2017 Hainc, Federau, Stieltjes, Blatow, Bink and Stippich. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Hainc, Nicolin
Federau, Christian
Stieltjes, Bram
Blatow, Maria
Bink, Andrea
Stippich, Christoph
The Bright, Artificial Intelligence-Augmented Future of Neuroimaging Reading
title The Bright, Artificial Intelligence-Augmented Future of Neuroimaging Reading
title_full The Bright, Artificial Intelligence-Augmented Future of Neuroimaging Reading
title_fullStr The Bright, Artificial Intelligence-Augmented Future of Neuroimaging Reading
title_full_unstemmed The Bright, Artificial Intelligence-Augmented Future of Neuroimaging Reading
title_short The Bright, Artificial Intelligence-Augmented Future of Neuroimaging Reading
title_sort bright, artificial intelligence-augmented future of neuroimaging reading
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5613097/
https://www.ncbi.nlm.nih.gov/pubmed/28983278
http://dx.doi.org/10.3389/fneur.2017.00489
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