Deep learning and artificial intelligence in radiology: Current applications and future directions

doi:10.1371/journal.pmed.1002707

. 2018 Nov 30;15(11):e1002707.

doi: 10.1371/journal.pmed.1002707. eCollection 2018 Nov.

Deep learning and artificial intelligence in radiology: Current applications and future directions

Koichiro Yasaka¹, Osamu Abe²

Affiliations

¹ Department of Radiology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
² Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

PMID: 30500815
PMCID: PMC6267951
DOI: 10.1371/journal.pmed.1002707

Deep learning and artificial intelligence in radiology: Current applications and future directions

Koichiro Yasaka et al. PLoS Med. 2018.

. 2018 Nov 30;15(11):e1002707.

doi: 10.1371/journal.pmed.1002707. eCollection 2018 Nov.

Authors

Koichiro Yasaka¹, Osamu Abe²

Affiliations

¹ Department of Radiology, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
² Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

PMID: 30500815
PMCID: PMC6267951
DOI: 10.1371/journal.pmed.1002707

No abstract available

PubMed Disclaimer

Conflict of interest statement

I have read the journal’s policy and the authors of this manuscript have the following competing interests: KY receives a research grant from Japan Radiological Society. OA has no competing interest regarding this work.

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References

1. Rajpurkar P, Irvin J, Ball RL, Zhu K, Yang B, Mehta H, et al. Deep learning for chest radiograph diagnosis: A retrospective comparison of CheXNeXt to practicing radiologists. PLoS Med. 2018;15(11):e1002686 10.1371/journal.pmed.1002686 - DOI - PMC - PubMed
1. Taylor AG, Mielke C, Mongan J. Automated detection of clinically-significant pneumothorax on frontal chest X-rays using deep convolutional neural networks. PLoS Med. 2018;15(11):e1002697 10.1371/journal.pmed.1002697 - DOI - PMC - PubMed
1. Zech JR, Badgeley MA, Liu M, Costa AB, Titano JJ, Oermann EK. Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study. PLoS Med. 2018;15(11):e1002683 10.1371/journal.pmed.1002683 - DOI - PMC - PubMed
1. Bien N, Rajpurkar P, Ball RL, Irvin J, Park AK, Jones E, et al. AI-assisted diagnosis for knee MR: Development and retrospective validation. PLoS Med. 2018;15(11):e1002699 10.1371/journal.pmed.1002699 - DOI - PMC - PubMed
1. Nakao T, Hanaoka S, Nomura Y, Sato I, Nemoto M, Miki S, et al. Deep neural network-based computer-assisted detection of cerebral aneurysms in MR angiography. J Magn Reson Imaging 2018;47(4):948–953. 10.1002/jmri.25842 - DOI - PubMed

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This work was supported by the Japan Radiological Society. The funder had no role in writing, decision to publish, or preparation of the manuscript.

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[1] Rajpurkar P, Irvin J, Ball RL, Zhu K, Yang B, Mehta H, et al. Deep learning for chest radiograph diagnosis: A retrospective comparison of CheXNeXt to practicing radiologists. PLoS Med. 2018;15(11):e1002686 10.1371/journal.pmed.1002686 - DOI - PMC - PubMed

[2] Rajpurkar P, Irvin J, Ball RL, Zhu K, Yang B, Mehta H, et al. Deep learning for chest radiograph diagnosis: A retrospective comparison of CheXNeXt to practicing radiologists. PLoS Med. 2018;15(11):e1002686 10.1371/journal.pmed.1002686 - DOI - PMC - PubMed

[3] Taylor AG, Mielke C, Mongan J. Automated detection of clinically-significant pneumothorax on frontal chest X-rays using deep convolutional neural networks. PLoS Med. 2018;15(11):e1002697 10.1371/journal.pmed.1002697 - DOI - PMC - PubMed

[4] Taylor AG, Mielke C, Mongan J. Automated detection of clinically-significant pneumothorax on frontal chest X-rays using deep convolutional neural networks. PLoS Med. 2018;15(11):e1002697 10.1371/journal.pmed.1002697 - DOI - PMC - PubMed

[5] Zech JR, Badgeley MA, Liu M, Costa AB, Titano JJ, Oermann EK. Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study. PLoS Med. 2018;15(11):e1002683 10.1371/journal.pmed.1002683 - DOI - PMC - PubMed

[6] Zech JR, Badgeley MA, Liu M, Costa AB, Titano JJ, Oermann EK. Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study. PLoS Med. 2018;15(11):e1002683 10.1371/journal.pmed.1002683 - DOI - PMC - PubMed

[7] Bien N, Rajpurkar P, Ball RL, Irvin J, Park AK, Jones E, et al. AI-assisted diagnosis for knee MR: Development and retrospective validation. PLoS Med. 2018;15(11):e1002699 10.1371/journal.pmed.1002699 - DOI - PMC - PubMed

[8] Bien N, Rajpurkar P, Ball RL, Irvin J, Park AK, Jones E, et al. AI-assisted diagnosis for knee MR: Development and retrospective validation. PLoS Med. 2018;15(11):e1002699 10.1371/journal.pmed.1002699 - DOI - PMC - PubMed

[9] Nakao T, Hanaoka S, Nomura Y, Sato I, Nemoto M, Miki S, et al. Deep neural network-based computer-assisted detection of cerebral aneurysms in MR angiography. J Magn Reson Imaging 2018;47(4):948–953. 10.1002/jmri.25842 - DOI - PubMed

[10] Nakao T, Hanaoka S, Nomura Y, Sato I, Nemoto M, Miki S, et al. Deep neural network-based computer-assisted detection of cerebral aneurysms in MR angiography. J Magn Reson Imaging 2018;47(4):948–953. 10.1002/jmri.25842 - DOI - PubMed

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Deep learning and artificial intelligence in radiology: Current applications and future directions

Affiliations

Deep learning and artificial intelligence in radiology: Current applications and future directions

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