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

Belavy, DL; Tagliaferri, SD; Tegenthoff, M; Enax-Krumova, E; Schlaffke, L; Bühring, B; Schulte, TL; Schmidt, S; Wilke, HJ; Angelova, M; Trudel, G; Ehrenbrusthoff, K; Fitzgibbon, B; Van Oosterwijck, J; Miller, Clint; Owen, PJ; Bowe, Steve; Döding, R; Kaczorowski, S

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

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posted on 2025-06-02, 04:38 authored by DL Belavy, SD Tagliaferri, M Tegenthoff, E Enax-Krumova, L Schlaffke, B Bühring, TL Schulte, S Schmidt, HJ Wilke, M Angelova, G Trudel, K Ehrenbrusthoff, B Fitzgibbon, J Van Oosterwijck, Clint MillerClint Miller, PJ Owen, Steve BoweSteve Bowe, R Döding, S Kaczorowski

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

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Journal

PLoS One

Volume

18

Article number

e0282346

Pagination

1-19

Location

San Francisco, Calif.

ISSN

1932-6203

eISSN

1932-6203

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Editor/Contributor(s)

Mockridge J

Issue

8

Publisher

Public Library of Science

Publication URL

http://dx.doi.org/10.1371/journal.pone.0282346

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

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