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Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews

Tagliaferri, Scott D., Angelova Turkedjieva, Maia, Zhao, Xiaohui, Owen, Patrick J., Miller, Clint T., Wilkin, Tim and Belavy, Daniel L. 2020, Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews, npj digital medicine, vol. 3, pp. 1-16, doi: 10.1038/s41746-020-0303-x.

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Title Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews
Author(s) Tagliaferri, Scott D.ORCID iD for Tagliaferri, Scott D. orcid.org/0000-0003-3669-4131
Angelova Turkedjieva, MaiaORCID iD for Angelova Turkedjieva, Maia orcid.org/0000-0002-0931-0916
Zhao, Xiaohui
Owen, Patrick J.ORCID iD for Owen, Patrick J. orcid.org/0000-0003-3924-9375
Miller, Clint T.ORCID iD for Miller, Clint T. orcid.org/0000-0001-7743-6986
Wilkin, TimORCID iD for Wilkin, Tim orcid.org/0000-0003-4059-1354
Belavy, Daniel L.ORCID iD for Belavy, Daniel L. orcid.org/0000-0002-9307-832X
Journal name npj digital medicine
Volume number 3
Article ID 93
Start page 1
End page 16
Total pages 16
Publisher Nature Publishing Group
Place of publication London, Eng.
Publication date 2020
ISSN 2398-6352
Language eng
DOI 10.1038/s41746-020-0303-x
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30137993

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.