Skip to main content

Main menu

  • Home
  • Content
    • Current Issue
    • Advance Online Publication
    • Archive
  • About Us
    • About ISASS
    • About the Journal
    • Author Instructions
    • Editorial Board
    • Reviewer Guidelines & Publication Criteria
  • More
    • Advertise
    • Subscribe
    • Alerts
    • Feedback
  • Join Us
  • Reprints & Permissions
  • Sponsored Content
  • Other Publications
    • ijss

User menu

  • My alerts

Search

  • Advanced search
International Journal of Spine Surgery
  • My alerts
International Journal of Spine Surgery

Advanced Search

  • Home
  • Content
    • Current Issue
    • Advance Online Publication
    • Archive
  • About Us
    • About ISASS
    • About the Journal
    • Author Instructions
    • Editorial Board
    • Reviewer Guidelines & Publication Criteria
  • More
    • Advertise
    • Subscribe
    • Alerts
    • Feedback
  • Join Us
  • Reprints & Permissions
  • Sponsored Content
  • Follow ijss on Twitter
  • Visit ijss on Facebook
Research ArticleSpecial Issue

Reliability Analysis of Deep Learning Algorithms for Reporting of Routine Lumbar MRI Scans

Kai-Uwe Lewandrowski, Narendran Muraleedharan, Steven Allen Eddy, Vikram Sobti, Brian D. Reece, Jorge Felipe Ramírez León and Sandeep Shah
International Journal of Spine Surgery December 2020, 14 (s3) S98-S107; DOI: https://doi.org/10.14444/7132
Kai-Uwe Lewandrowski
1Staff Orthopaedic Spine Surgeon Center for Advanced Spine Care of Southern Arizona and Surgical Institute of Tucson, Tucson, Arizona
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Narendran Muraleedharan
2Aptus Engineering, Inc, Scottsdale, Arizona, and Multus Medical, LLC, Phoenix, Arizona
BASME
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Steven Allen Eddy
3Multus Medical, LLC, Phoenix, Arizona
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Vikram Sobti
4Innovative Radiology, PC, River Forest, Illinois
MD, MBA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Brian D. Reece
5The Spine and Orthopedic Academic Research Institute, Lewisville, Texas
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jorge Felipe Ramírez León
6Fundación Universitaria Sanitas, Bogotá, Colombia, Research Team, Centro de Columna. Bogotá, Colombia, Centro de Cirugía de Mínima Invasión, CECIMIN—Clínica Reina Sofía, Bogotá, Colombia
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sandeep Shah
7Multus Medical, LLC, Phoenix, Arizona
MSEE, MBA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure

    Area under the curve data = 0.808; SE = 0.025; asymptotic significance < 0.0001; asymptotic 95% confidence interval, lower bound = 0.760; upper bound = 0.857. Coordinates of the curve for artificial intelligence sensitivity = 0.884; 1 − specificity = 0.267.

Tables

  • Figures
  • Table 1
  • Table 2
  • Table 3
  • Table 4
  • Table 5
  • Table 6
  • Table 7
  • Table 8
  • Table 9
  • Table 10
  • Table 11
  • Table 12
  • Table 13
  • Table 14
  • Table 15
PreviousNext
Back to top

In this issue

International Journal of Spine Surgery
Vol. 14, Issue s3
1 Dec 2020
  • Table of Contents
  • Index by author

Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on International Journal of Spine Surgery.

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.
Reliability Analysis of Deep Learning Algorithms for Reporting of Routine Lumbar MRI Scans
(Your Name) has sent you a message from International Journal of Spine Surgery
(Your Name) thought you would like to see the International Journal of Spine Surgery web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Reliability Analysis of Deep Learning Algorithms for Reporting of Routine Lumbar MRI Scans
Kai-Uwe Lewandrowski, Narendran Muraleedharan, Steven Allen Eddy, Vikram Sobti, Brian D. Reece, Jorge Felipe Ramírez León, Sandeep Shah
International Journal of Spine Surgery Dec 2020, 14 (s3) S98-S107; DOI: 10.14444/7132

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Reliability Analysis of Deep Learning Algorithms for Reporting of Routine Lumbar MRI Scans
Kai-Uwe Lewandrowski, Narendran Muraleedharan, Steven Allen Eddy, Vikram Sobti, Brian D. Reece, Jorge Felipe Ramírez León, Sandeep Shah
International Journal of Spine Surgery Dec 2020, 14 (s3) S98-S107; DOI: 10.14444/7132
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • ABSTRACT
    • INTRODUCTION
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSIONS
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Letter to the Editor: Rasch Analysis and High Value Spinal Endoscopy—Another Perspective
  • Real-World Implementation of Artificial Intelligence/Machine Learning for Managing Surgical Spine Patients at 2 Academic Health Care Systems
  • Potential Applications of Artificial Intelligence and Machine Learning in Spine Surgery Across the Continuum of Care
Show more Special Issue

Similar Articles

Keywords

  • artificial intelligence
  • deep neural network learning
  • magnetic resonance imaging
  • spinal pathologies
  • reliability analysis

Content

  • Current Issue
  • Latest Content
  • Archive

More Information

  • About IJSS
  • About ISASS
  • Privacy Policy

More

  • Subscribe
  • Alerts
  • Feedback

Other Services

  • Author Instructions
  • Join ISASS
  • Reprints & Permissions

© 2025 International Journal of Spine Surgery

International Journal of Spine Surgery Online ISSN: 2211-4599

Powered by HighWire