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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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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. |
format | Online Article Text |
id | pubmed-5613097 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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