Using artificial intelligence algorithms to identify existing knowledge within the back pain literature
Author:
Publisher
Springer Science and Business Media LLC
Subject
Orthopedics and Sports Medicine,Surgery
Link
https://link.springer.com/content/pdf/10.1007/s00586-020-06447-y.pdf
Reference9 articles.
1. Hartvigsen J, Hancock MJ, Kongsted A et al (2018) What low back pain is and why we need to pay attention. Lancet (London, England) 391:2356–2367. https://doi.org/10.1016/S0140-6736(18)30480-X
2. Maniadakis N, Gray A (2000) The economic burden of back pain in the UK. Pain 84:95–103
3. Maher C, Underwood M, Buchbinder R (2017) Non-specific low back pain. Lancet (London, England) 389:736–747. https://doi.org/10.1016/S0140-6736(16)30970-9
4. Foster NE, Anema JR, Cherkin D et al (2018) Prevention and treatment of low back pain: evidence, challenges, and promising directions. Lancet (London, England) 391:2368–2383. https://doi.org/10.1016/S0140-6736(18)30489-6
5. Cholewicki J, Popovich JM, Aminpour P et al (2019) Development of a collaborative model of low back pain: report from the 2017 NASS consensus meeting. Spine J 19:1029–1040. https://doi.org/10.1016/j.spinee.2018.11.014
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