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.
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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
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