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
MDNarendran Muraleedharan
2Aptus Engineering, Inc, Scottsdale, Arizona, and Multus Medical, LLC, Phoenix, Arizona
BASMESteven Allen Eddy
3Multus Medical, LLC, Phoenix, Arizona
MDVikram Sobti
4Innovative Radiology, PC, River Forest, Illinois
MD, MBABrian D. Reece
5The Spine and Orthopedic Academic Research Institute, Lewisville, Texas
MDJorge 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
MDSandeep Shah
7Multus Medical, LLC, Phoenix, Arizona
MSEE, MBAIn this issue
International Journal of Spine Surgery
Vol. 14, Issue s3
1 Dec 2020
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
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
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