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- W3040782208 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) compare its status to that of two established LBP classification systems (STarT Back, McKenzie). AI/ML in LBP is in its infancy: 45 of 48 studies assessed sample sizes <1000 people, 19 of 48 studies used ≤5 parameters in models, 13 of 48 studies applied multiple models and attained high accuracy, 25 of 48 studies assessed the binary classification of LBP versus no-LBP only. Beyond the 48 studies using AI/ML for LBP classification, no studies examined use of AI/ML in prognosis prediction of specific sub-groups, and AI/ML techniques are yet to be implemented in guiding LBP treatment. In contrast, the STarT Back tool has been assessed for internal consistency, test-retest reliability, validity, pain and disability prognosis, and influence on pain and disability treatment outcomes. McKenzie has been assessed for inter- and intra-tester reliability, prognosis, and impact on pain and disability outcomes relative to other treatments. For AI/ML methods to contribute to the refinement of LBP (sub-)classification and guide treatment allocation, large data sets containing known and exploratory clinical features should be examined. There is also a need to establish reliability, validity, and prognostic capacity of AI/ML techniques in LBP as well as its ability to inform treatment allocation for improved patient outcomes and/or reduced healthcare costs." @default.
- W3040782208 created "2020-07-16" @default.
- W3040782208 creator A5002788521 @default.
- W3040782208 creator A5014624042 @default.
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- W3040782208 creator A5046872044 @default.
- W3040782208 creator A5053782247 @default.
- W3040782208 creator A5074076038 @default.
- W3040782208 creator A5075317332 @default.
- W3040782208 date "2020-07-09" @default.
- W3040782208 modified "2023-10-14" @default.
- W3040782208 title "Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews" @default.
- W3040782208 cites W1444168786 @default.
- W3040782208 cites W1502207884 @default.
- W3040782208 cites W1531443818 @default.
- W3040782208 cites W1595605930 @default.
- W3040782208 cites W1655534105 @default.
- W3040782208 cites W1866603773 @default.
- W3040782208 cites W191571261 @default.
- W3040782208 cites W1946548095 @default.
- W3040782208 cites W1964105985 @default.
- W3040782208 cites W1964335236 @default.
- W3040782208 cites W1965623501 @default.
- W3040782208 cites W1966742645 @default.
- W3040782208 cites W1972801949 @default.
- W3040782208 cites W1973017667 @default.
- W3040782208 cites W1975251115 @default.
- W3040782208 cites W1977495989 @default.
- W3040782208 cites W1978916560 @default.
- W3040782208 cites W1983282342 @default.
- W3040782208 cites W1986133211 @default.
- W3040782208 cites W1986617234 @default.
- W3040782208 cites W1986821988 @default.
- W3040782208 cites W1991381401 @default.
- W3040782208 cites W1996114244 @default.
- W3040782208 cites W1999177824 @default.
- W3040782208 cites W2003489322 @default.
- W3040782208 cites W2014939988 @default.
- W3040782208 cites W2019545133 @default.
- W3040782208 cites W2021231396 @default.
- W3040782208 cites W2022235629 @default.
- W3040782208 cites W2025182061 @default.
- W3040782208 cites W2027887470 @default.
- W3040782208 cites W2033535857 @default.
- W3040782208 cites W2033917791 @default.
- W3040782208 cites W2035083732 @default.
- W3040782208 cites W2036672123 @default.
- W3040782208 cites W2040702235 @default.
- W3040782208 cites W2043674042 @default.
- W3040782208 cites W2043709226 @default.
- W3040782208 cites W2046468050 @default.
- W3040782208 cites W2046505741 @default.
- W3040782208 cites W2049921279 @default.
- W3040782208 cites W2060648684 @default.
- W3040782208 cites W2061748654 @default.
- W3040782208 cites W2063443003 @default.
- W3040782208 cites W2063944111 @default.
- W3040782208 cites W2067435956 @default.
- W3040782208 cites W2067803183 @default.
- W3040782208 cites W2068328649 @default.
- W3040782208 cites W2071086569 @default.
- W3040782208 cites W2074574158 @default.
- W3040782208 cites W2075634701 @default.
- W3040782208 cites W2079466143 @default.
- W3040782208 cites W2083894056 @default.
- W3040782208 cites W2085998822 @default.
- W3040782208 cites W2086023264 @default.
- W3040782208 cites W2086619740 @default.
- W3040782208 cites W2087070785 @default.
- W3040782208 cites W2087428550 @default.
- W3040782208 cites W2088631562 @default.
- W3040782208 cites W2089574135 @default.
- W3040782208 cites W2090903272 @default.
- W3040782208 cites W2095921734 @default.
- W3040782208 cites W2099874284 @default.
- W3040782208 cites W2108344016 @default.
- W3040782208 cites W2111887260 @default.
- W3040782208 cites W2115988342 @default.
- W3040782208 cites W2118383839 @default.
- W3040782208 cites W2121295907 @default.
- W3040782208 cites W2121794484 @default.
- W3040782208 cites W2123717004 @default.
- W3040782208 cites W2124257779 @default.
- W3040782208 cites W2124564463 @default.
- W3040782208 cites W2131158372 @default.
- W3040782208 cites W2133262543 @default.
- W3040782208 cites W2133962915 @default.
- W3040782208 cites W2136956079 @default.
- W3040782208 cites W2142424661 @default.
- W3040782208 cites W2144376095 @default.
- W3040782208 cites W2147373164 @default.
- W3040782208 cites W2148997409 @default.
- W3040782208 cites W2155490978 @default.
- W3040782208 cites W2159545321 @default.
- W3040782208 cites W2160769294 @default.
- W3040782208 cites W2164124373 @default.
- W3040782208 cites W2165692234 @default.
- W3040782208 cites W2176174391 @default.
- W3040782208 cites W2184502093 @default.
- W3040782208 cites W2193961370 @default.