Literature DB >> 2679685

Artificial intelligence in the prediction of operative findings in low back surgery.

B Mathew1, D Norris, I Mackintosh, G Waddell.   

Abstract

In a prospective trial of 150 patients undergoing first time low back surgery for sciatica, the performance of a computer was compared to that of clinicians in predicting the likely operative findings. The results indicate that artificial intelligence techniques implemented on a computer can be used for predicting operative findings in low back surgery, can out-perform clinicians and can be used to develop better methods of human prediction.

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Year:  1989        PMID: 2679685     DOI: 10.3109/02688698909002791

Source DB:  PubMed          Journal:  Br J Neurosurg        ISSN: 0268-8697            Impact factor:   1.596


  5 in total

Review 1.  Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews.

Authors:  Scott D Tagliaferri; Maia Angelova; Xiaohui Zhao; Patrick J Owen; Clint T Miller; Tim Wilkin; Daniel L Belavy
Journal:  NPJ Digit Med       Date:  2020-07-09

2.  Machine Intelligence in Clinical Neuroscience: Taming the Unchained Prometheus.

Authors:  Victor E Staartjes; Luca Regli; Carlo Serra
Journal:  Acta Neurochir Suppl       Date:  2022

Review 3.  Artificial intelligence in medicine and male infertility.

Authors:  D J Lamb; C S Niederberger
Journal:  World J Urol       Date:  1993       Impact factor: 4.226

Review 4.  Artificial intelligence to improve back pain outcomes and lessons learnt from clinical classification approaches: three systematic reviews.

Authors:  Scott D Tagliaferri; Maia Angelova; Xiaohui Zhao; Patrick J Owen; Clint T Miller; Tim Wilkin; Daniel L Belavy
Journal:  NPJ Digit Med       Date:  2020-07-09

5.  Artificial intelligence in orthopaedics: A scoping review.

Authors:  Simon J Federer; Gareth G Jones
Journal:  PLoS One       Date:  2021-11-23       Impact factor: 3.240

  5 in total

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