Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home

User menu

  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds

AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticleAdult Brain

Labeling Noncontrast Head CT Reports for Common Findings Using Natural Language Processing

M. Iorga, M. Drakopoulos, A.M. Naidech, A.K. Katsaggelos, T.B. Parrish and V.B. Hill
American Journal of Neuroradiology May 2022, 43 (5) 721-726; DOI: https://doi.org/10.3174/ajnr.A7500
M. Iorga
aFrom the Departments of Radiology (M.I., M.D., T.B.P., V.B.H.)
cDepartments of Biomedical Engineering (M.I., A.K.K., T.B.P.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for M. Iorga
M. Drakopoulos
aFrom the Departments of Radiology (M.I., M.D., T.B.P., V.B.H.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for M. Drakopoulos
A.M. Naidech
bNeurology (A.M.N.), Northwestern University Feinberg School of Medicine, Chicago, Illinois
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A.M. Naidech
A.K. Katsaggelos
cDepartments of Biomedical Engineering (M.I., A.K.K., T.B.P.)
dElectrical and Computer Engineering (A.K.K.)
eComputer Science (A.K.K.), Northwestern University, Chicago, Illinois
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for A.K. Katsaggelos
T.B. Parrish
aFrom the Departments of Radiology (M.I., M.D., T.B.P., V.B.H.)
cDepartments of Biomedical Engineering (M.I., A.K.K., T.B.P.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for T.B. Parrish
V.B. Hill
aFrom the Departments of Radiology (M.I., M.D., T.B.P., V.B.H.)
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for V.B. Hill
  • Article
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

References

  1. 1.↵
    1. Buethe J,
    2. Nazarian J,
    3. Kalisz K, et al
    . Neuroimaging wisely. AJNR Am J Neuroradiol 2016;37:2182–88 doi:10.3174/ajnr.A4821 pmid:27282861
    Abstract/FREE Full Text
  2. 2.↵
    1. Hijaz TA,
    2. Cento EA,
    3. Walker MT
    . Imaging of head trauma. Radiol Clin North Am 2011;49:81–103 doi:10.1016/j.rcl.2010.07.012 pmid:21111131
    CrossRefPubMed
  3. 3.↵
    1. Perry JJ,
    2. Stiell IG,
    3. Sivilotti ML, et al
    . Sensitivity of computed tomography performed within six hours of onset of headache for diagnosis of subarachnoid haemorrhage: prospective cohort study. BMJ 2011;343:d4277 doi:10.1136/bmj.d4277 pmid:21768192
    Abstract/FREE Full Text
  4. 4.↵
    1. Mullins ME
    . Emergent neuroimaging of intracranial infection/inflammation. Radiol Clin North Am 2011;49:47–62 doi:10.1016/j.rcl.2010.08.002 pmid:21111129
    CrossRefPubMed
  5. 5.↵
    1. Perotte R,
    2. Lewin GO,
    3. Tambe U, et al
    . Improving emergency department flow: reducing turnaround time for emergent CT scans. AMIA Annu Symp Proc 2018;2018:897–906 pmid:30815132
    PubMed
  6. 6.↵
    1. Saver JL
    . Time is brain—quantified. Stroke 2006;37:263–66 doi:10.1161/01.STR.0000196957.55928.ab pmid:16339467
    Abstract/FREE Full Text
  7. 7.↵
    1. McMullan JT,
    2. Knight WA,
    3. Clark JF, et al
    . Time-critical neurological emergencies: the unfulfilled role for point-of-care testing. Int J Emerg Med 2010;3:127–31 doi:10.1007/s12245-010-0177-9 pmid:20606822
    CrossRefPubMed
  8. 8.↵
    1. Topol EJ
    . High-performance medicine: the convergence of human and artificial intelligence. Nat Med 2019;25:44–56 doi:10.1038/s41591-018-0300-7 pmid:30617339
    CrossRefPubMed
  9. 9.↵
    1. Yasaka K,
    2. Abe O
    . Deep learning and artificial intelligence in radiology: current applications and future directions. PLoS Med 2018;15:e1002707 doi:10.1371/journal.pmed.1002707 pmid:30500815
    CrossRefPubMed
  10. 10.↵
    1. Yao AD,
    2. Cheng DL,
    3. Pan I, et al
    . Deep learning in neuroradiology: a systematic review of current algorithms and approaches for the new wave of imaging technology. Radiol Artif Intell 2020;2:e190026 doi:10.1148/ryai.2020190026 pmid:33937816
    CrossRefPubMed
  11. 11.↵
    1. Lee H,
    2. Yune S,
    3. Mansouri M, et al
    . An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets. Nat Biomed Eng 2019;3:173–82 doi:10.1038/s41551-018-0324-9 pmid:30948806
    CrossRefPubMed
  12. 12.↵
    1. Kuo W,
    2. Häne C,
    3. Mukherjee P, et al
    . Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning. Proc Natl Acad Sci U S A 2019;116:22737–45 doi:10.1073/pnas.1908021116 pmid:31636195
    Abstract/FREE Full Text
  13. 13.↵
    1. Chang PD,
    2. Kuoy E,
    3. Grinband J, et al
    . Hybrid 3D/2D convolutional neural network for hemorrhage evaluation on head CT. AJNR Am J Neuroradiol 2018;39:1609–16 doi:10.3174/ajnr.A5742 pmid:30049723
    Abstract/FREE Full Text
  14. 14.↵
    1. Wang D,
    2. Wang C,
    3. Masters L, et al
    . Masked multi-task network for case-level intracranial hemorrhage classification in brain CT. Med Image Comput Comput Assist Interv 2020;145–54 doi:10.1007/978-3-030-59728-3_15
    CrossRef
  15. 15.↵
    1. Heit JJ,
    2. Coelho H,
    3. Lima FO, et al
    . Automated cerebral hemorrhage detection using RAPID. AJNR Am J Neuroradiol 2021;4:273–78 doi:10.3174/ajnr.A6926 pmid:33361378
    CrossRefPubMed
  16. 16.↵
    1. O’Connor SD,
    2. Bhalla M
    . Should artificial intelligence tell radiologists which study to read next? Radiol Artif Intell 2021;3:e210009 doi:10.1148/ryai.2021210009 pmid:33939773
    CrossRefPubMed
  17. 17.↵
    1. O’Neill TJ,
    2. Xi Y,
    3. Stehel E, et al
    . Active reprioritization of the reading worklist using artificial intelligence has a beneficial effect on the turnaround time for interpretation of head CT with intracranial hemorrhage. Radiol Artif Intell 2021;3:e200024 doi:10.1148/ryai.2020200024 pmid:33937858
    CrossRefPubMed
  18. 18.↵
    1. Esteva A,
    2. Robicquet A,
    3. Ramsundar B, et al
    . A guide to deep learning in healthcare. Nat Med 2019;25:24–29 doi:10.1038/s41591-018-0316-z pmid:30617335
    CrossRefPubMed
  19. 19.↵
    1. Willemink MJ,
    2. Koszek WA,
    3. Hardell C, et al
    . Preparing medical imaging data for machine learning. Radiology 2020;295:4–15 doi:10.1148/radiol.2020192224 pmid:32068507
    CrossRefPubMed
  20. 20.↵
    1. Pons E,
    2. Braun LM,
    3. Hunink MG, et al
    . Natural language processing in radiology: a systematic review. Radiology 2016;279:329–43 doi:10.1148/radiol.16142770 pmid:27089187
    CrossRefPubMed
  21. 21.↵
    1. Alex B,
    2. Grover C,
    3. Tobin R, et al
    . Text mining brain imaging reports. J Biomed Semantics 2019;10:23 doi:10.1186/s13326-019-0211-7 pmid:31711539
    CrossRefPubMed
  22. 22.↵
    1. Chilamkurthy S,
    2. Ghosh R,
    3. Tanamala S, et al
    . Deep learning algorithms for detection of critical findings in head CT scans: a retrospective study. Lancet 2018;392:2388–96 doi:10.1016/S0140-6736(18)31645-3 pmid:30318264
    CrossRefPubMed
  23. 23.↵
    1. Zech J,
    2. Pain M,
    3. Titano J, et al
    . Natural language-based machine learning models for the annotation of clinical radiology reports. Radiology 2018;287:570–80 doi:10.1148/radiol.2018171093 pmid:29381109
    CrossRefPubMed
  24. 24.↵
    1. Barash Y,
    2. Guralnik G,
    3. Tau N, et al
    . Comparison of deep learning models for natural language processing-based classification of non-English head CT reports. Neuroradiology 2020;62:1247–56 doi:10.1007/s00234-020-02420-0 pmid:32335686
    CrossRefPubMed
  25. 25.↵
    1. Bird S,
    2. Klein E,
    3. Loper E
    . Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit. O’Reilly; 2009
  26. 26.↵
    1. Garreta R,
    2. Moncecchi G
    . Learning scikit-learn: Machine Learning in Python. Packt Publishing; 2013
  27. 27.↵
    1. Karimi D,
    2. Dou H,
    3. Warfield SK, et al
    . Deep learning with noisy labels: exploring techniques and remedies in medical image analysis. Med Image Anal 2020;65:101759 doi:10.1016/j.media.2020.101759 pmid:32623277
    CrossRefPubMed
  28. 28.↵
    1. Mokli Y,
    2. Pfaff J,
    3. dos Santos DP, et al
    . Computer-aided imaging analysis in acute ischemic stroke: background and clinical applications. Neurol Res Pract 2019;1 doi:10.1186/s42466-019-0028-y pmid:33324889
    CrossRefPubMed
  29. 29.↵
    1. Prevedello LM,
    2. Erdal BS,
    3. Ryu JL, et al
    . Automated critical test findings identification and online notification system using artificial intelligence in imaging. Radiology 2017;285:923–31 doi:10.1148/radiol.2017162664 pmid:28678669
    CrossRefPubMed
  30. 30.↵
    1. Titano JJ,
    2. Badgeley M,
    3. Schefflein J, et al
    . Automated deep-neural-network surveillance of cranial images for acute neurologic events. Nat Med 2018;24:1337–41 doi:10.1038/s41591-018-0147-y pmid:30104767
    CrossRefPubMed
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 43 (5)
American Journal of Neuroradiology
Vol. 43, Issue 5
1 May 2022
  • Table of Contents
  • Index by author
  • Complete Issue (PDF)
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Labeling Noncontrast Head CT Reports for Common Findings Using Natural Language Processing
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Cite this article
M. Iorga, M. Drakopoulos, A.M. Naidech, A.K. Katsaggelos, T.B. Parrish, V.B. Hill
Labeling Noncontrast Head CT Reports for Common Findings Using Natural Language Processing
American Journal of Neuroradiology May 2022, 43 (5) 721-726; DOI: 10.3174/ajnr.A7500

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
0 Responses
Respond to this article
Share
Bookmark this article
Labeling Noncontrast Head CT Reports for Common Findings Using Natural Language Processing
M. Iorga, M. Drakopoulos, A.M. Naidech, A.K. Katsaggelos, T.B. Parrish, V.B. Hill
American Journal of Neuroradiology May 2022, 43 (5) 721-726; DOI: 10.3174/ajnr.A7500
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Abstract
    • ABBREVIATIONS:
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSIONS
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Crossref
  • Google Scholar

This article has not yet been cited by articles in journals that are participating in Crossref Cited-by Linking.

More in this TOC Section

  • Diagnostic Neuroradiology of Monoclonal Antibodies
  • Segmentation of Brain Metastases with BLAST
  • Cerebral ADC Changes in Fabry Disease
Show more Adult Brain

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editor's Choice
  • Fellows' Journal Club
  • Letters to the Editor
  • Video Articles

Cases

  • Case Collection
  • Archive - Case of the Week
  • Archive - Case of the Month
  • Archive - Classic Case

More from AJNR

  • Trainee Corner
  • Imaging Protocols
  • MRI Safety Corner
  • Book Reviews

Multimedia

  • AJNR Podcasts
  • AJNR Scantastics

Resources

  • Turnaround Time
  • Submit a Manuscript
  • Submit a Video Article
  • Submit an eLetter to the Editor/Response
  • Manuscript Submission Guidelines
  • Statistical Tips
  • Fast Publishing of Accepted Manuscripts
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Author Policies
  • Become a Reviewer/Academy of Reviewers
  • News and Updates

About Us

  • About AJNR
  • Editorial Board
  • Editorial Board Alumni
  • Alerts
  • Permissions
  • Not an AJNR Subscriber? Join Now
  • Advertise with Us
  • Librarian Resources
  • Feedback
  • Terms and Conditions
  • AJNR Editorial Board Alumni

American Society of Neuroradiology

  • Not an ASNR Member? Join Now

© 2025 by the American Society of Neuroradiology All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire