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

Article Information

vol. 14 no. s3 S98-S107
DOI 
https://doi.org/10.14444/7132
PubMed 
33122182
Published By 
International Journal of Spine Surgery
Online ISSN 
2211-4599
History 
  • Published online December 9, 2020.

Article Versions

Copyright & Usage 
This manuscript is generously published free of charge by ISASS, the International Society for the Advancement of Spine Surgery. Copyright © 2020 ISASS

Author Information

  1. Kai-Uwe Lewandrowski, MD1,
  2. Narendran Muraleedharan, BASME2,
  3. Steven Allen Eddy, MD3,
  4. Vikram Sobti, MD, MBA4,
  5. Brian D. Reece, MD5,
  6. Jorge Felipe Ramírez León, MD6 and
  7. Sandeep Shah, MSEE, MBA7
  1. 1Staff Orthopaedic Spine Surgeon Center for Advanced Spine Care of Southern Arizona and Surgical Institute of Tucson, Tucson, Arizona
  2. 2Aptus Engineering, Inc, Scottsdale, Arizona, and Multus Medical, LLC, Phoenix, Arizona
  3. 3Multus Medical, LLC, Phoenix, Arizona
  4. 4Innovative Radiology, PC, River Forest, Illinois
  5. 5The Spine and Orthopedic Academic Research Institute, Lewisville, Texas
  6. 6Fundación Universitaria Sanitas, Bogotá, Colombia, Research Team, Centro de Columna. Bogotá, Colombia, Centro de Cirugía de Mínima Invasión, CECIMIN—Clínica Reina Sofía, Bogotá, Colombia
  7. 7Multus Medical, LLC, Phoenix, Arizona
  1. Corresponding Author:
    Kai-Uwe Lewandrowski, MD, Staff Orthopaedic Spine Surgeon Center for Advanced Spine Care of Southern Arizona and Surgical Institute of Tucson, AZ 85712. Phone: (520) 204-1495; Fax: (623) 218-1215; Email: busniess{at}tucsonspine.com.
View Full Text

Article usage

Article usage: October 2020 to May 2025

AbstractFullPdf
Oct 20202806
Nov 2020114073
Dec 20209613049
Jan 2021646254
Feb 2021313524
Mar 202192615
Apr 2021153133
May 2021135574
Jun 2021131817
Jul 2021111914
Aug 2021101924
Sep 202181522
Oct 202152341
Nov 202131933
Dec 2021112723
Jan 202292425
Feb 202281611
Mar 20229913
Apr 20227148
May 202293030
Jun 20226616
Jul 202212187
Aug 202242114
Sep 202251918
Oct 202292020
Nov 202222010
Dec 202221617
Jan 202354716
Feb 202322618
Mar 202351917
Apr 202331215
May 20234712
Jun 202371415
Jul 202381718
Aug 20232725
Sep 202361911
Oct 2023121817
Nov 2023133423
Dec 2023112617
Jan 2024123315
Feb 202473513
Mar 202442133
Apr 202454635
May 202461609
Jun 202482115
Jul 202471726
Aug 20242810
Sep 20246188
Oct 2024999
Nov 202441211
Dec 202431512
Jan 202591513
Feb 202543113
Mar 2025142914
Apr 2025101620
May 20251118

Statistics from Altmetric.com

Cited By...

Back to top

In this issue

Print
Download PDF
Article Alerts
Email Article
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
Twitter logo Facebook logo Mendeley logo

Jump to section

Keywords