Research ArticleSpecial Issue

Artificial Intelligence Comparison of the Radiologist Report With Endoscopic Predictors of Successful Transforaminal Decompression for Painful Conditions of the Lumber Spine: Application of Deep Learning Algorithm Interpretation of Routine Lumbar Magnetic Resonance Imaging Scan

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) S75-S85; DOI: https://doi.org/10.14444/7130

Article Information

vol. 14 no. s3 S75-S85
DOI 
https://doi.org/10.14444/7130
PubMed 
33208388
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: November 2020 to May 2025

AbstractFullPdf
Nov 2020165052
Dec 202022913286
Jan 2021596751
Feb 2021304126
Mar 2021123519
Apr 2021172630
May 2021132119
Jun 202194028
Jul 2021122619
Aug 2021689025
Sep 202191618
Oct 202113340
Nov 202163135
Dec 2021162315
Jan 202292713
Feb 202262914
Mar 2022152431
Apr 2022112614
May 2022163347
Jun 202275719
Jul 2022115123
Aug 202253018
Sep 202232525
Oct 202284015
Nov 202254127
Dec 2022131116
Jan 2023154636
Feb 2023102110
Mar 202375121
Apr 2023113128
May 2023131318
Jun 202362014
Jul 2023121428
Aug 202351415
Sep 202332517
Oct 2023112621
Nov 2023203722
Dec 2023322210
Jan 2024335025
Feb 2024276017
Mar 2024143476
Apr 2024192231
May 20242110726
Jun 202472621
Jul 2024112218
Aug 2024122915
Sep 2024161327
Oct 202416714
Nov 202441111
Dec 202441516
Jan 202571518
Feb 202552710
Mar 202521416
Apr 202562115
May 20251118

Statistics from Altmetric.com

Cited By...

Back to top

In this issue

Print
Download PDF
Article Alerts
Email Article
Citation Tools
Artificial Intelligence Comparison of the Radiologist Report With Endoscopic Predictors of Successful Transforaminal Decompression for Painful Conditions of the Lumber Spine: Application of Deep Learning Algorithm Interpretation of Routine Lumbar Magnetic Resonance Imaging Scan
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) S75-S85; DOI: 10.14444/7130
Twitter logo Facebook logo Mendeley logo

Jump to section

Keywords