Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews
Abstract Artificial intelligence and machine learning (AI/ML) could enhance the ability to detect patterns of clinical characteristics in low-back pain (LBP) and guide treatment. We conducted three systematic reviews to address the following aims: (a) review the status of AI/ML research in LBP, (b)...
Main Authors: | Scott D. Tagliaferri, Maia Angelova, Xiaohui Zhao, Patrick J. Owen, Clint T. Miller, Tim Wilkin, Daniel L. Belavy |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2020-07-01
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Series: | npj Digital Medicine |
Online Access: | https://doi.org/10.1038/s41746-020-0303-x |
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