Evidence- and data-driven classification of low back pain via artificial intelligence: Protocol of the PREDICT-LBP study

Evidence- and data-driven classification of low back pain via artificial intelligence: Protocol of the PREDICT-LBP study

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In patients presenting with low back pain (LBP), once specific causes are excluded (fracture, infection, inflammatory arthritis, cancer, cauda equina and radiculopathy) many clinicians pose a diagnosis of non-specific LBP. Accordingly, current management of non-specific LBP is generic. There is a ne...

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Bibliographic Details
Main Authors: Daniel L. Belavy, Scott D. Tagliaferri, Martin Tegenthoff, Elena Enax-Krumova, Lara Schlaffke, Björn Bühring, Tobias L. Schulte, Sein Schmidt, Hans-Joachim Wilke, Maia Angelova, Guy Trudel, Katja Ehrenbrusthoff, Bernadette Fitzgibbon, Jessica Van Oosterwijck, Clint T. Miller, Patrick J. Owen, Steven Bowe, Rebekka Döding, Svenja Kaczorowski
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441794/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441794/?tool=EBI

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