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

B Mathew; D Norris; D Hendry; G Waddell

doi:10.1097/00007632-198802000-00007

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

Spine (Phila Pa 1976). 1988 Feb;13(2):168-72. doi: 10.1097/00007632-198802000-00007.

Authors

B Mathew¹, D Norris, D Hendry, G Waddell

Affiliation

¹ Neurosurgical Department, Frenchay Hospital, Bristol, England.

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

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.

Publication types

Clinical Trial
Controlled Clinical Trial
Research Support, Non-U.S. Gov't

MeSH terms

Back Pain / diagnosis*
Diagnosis, Computer-Assisted* / standards
Diagnosis, Differential
Diagnostic Errors
Evaluation Studies as Topic
Humans
Sciatica / diagnosis*