Literature DB >> 2970122

Artificial intelligence in the diagnosis of low-back pain and sciatica.

B Mathew1, D Norris, D Hendry, G Waddell.   

Abstract

In a prospective trial of 200 patients with low-back pain or sciatica, the diagnostic performance of a computer was compared with that of a clinician in a variety of clinical settings. The results indicate that artificial intelligence techniques can be used for the differential diagnosis of low-back disorders, can outperform clinicians, and can be used to develop better methods of human differential diagnosis.

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Mesh：

Year:  1988        PMID： 2970122     DOI： 10.1097/00007632-198802000-00007

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN： 0362-2436            Impact factor:   3.468


  10 in total

1.  Prediction of low back pain with two expert systems.

Authors:  Murat Sari; Eyyup Gulbandilar; Ali Cimbiz
Journal:  J Med Syst       Date:  2010-10-27       Impact factor: 4.460

2.  Using neural networks to diagnose cancer.

Authors:  P S Maclin; J Dempsey; J Brooks; J Rand
Journal:  J Med Syst       Date:  1991-02       Impact factor: 4.460

Review 3.  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

4.  Ulnar drift: or what not to teach students.

Authors:  J C Edwards
Journal:  Ann Rheum Dis       Date:  1995-04       Impact factor: 19.103

5.  Guidelines for lumbar spine radiography in acute low back pain: effect of implementation in an accident and emergency department.

Authors:  N G Tracey; J B Martin; C S McKinstry; B M Mathew
Journal:  Ulster Med J       Date:  1994-04

Review 6.  Artificial Intelligence and Computer Aided Diagnosis in Chronic Low Back Pain: A Systematic Review.

Authors:  Federico D'Antoni; Fabrizio Russo; Luca Ambrosio; Luca Bacco; Luca Vollero; Gianluca Vadalà; Mario Merone; Rocco Papalia; Vincenzo Denaro
Journal:  Int J Environ Res Public Health       Date:  2022-05-14       Impact factor: 4.614

Review 7.  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 8.  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

9.  Machine Learning Identifies Chronic Low Back Pain Patients from an Instrumented Trunk Bending and Return Test.

Authors:  Paul Thiry; Martin Houry; Laurent Philippe; Olivier Nocent; Fabien Buisseret; Frédéric Dierick; Rim Slama; William Bertucci; André Thévenon; Emilie Simoneau-Buessinger
Journal:  Sensors (Basel)       Date:  2022-07-03       Impact factor: 3.847

10.  Assessment and Diagnosis of Musculoskeletal Shoulder Disorders over the Internet.

Authors:  Leah Steele; Hannah Lade; Stephanie McKenzie; Trevor G Russell
Journal:  Int J Telemed Appl       Date:  2012-11-05
  10 in total

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