title: Artificial intelligence in the diagnosis of low-back pain and sciatica.
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.
authors.affiliation: Neurosurgical Department, Frenchay Hospital, Bristol, England.
authors.forename: B
authors.initials: B
authors.lastname: Mathew
authors.forename: D
authors.initials: D
authors.lastname: Norris
authors.forename: D
authors.initials: D
authors.lastname: Hendry
authors.forename: G
authors.initials: G
authors.lastname: Waddell
mesh_terms: D001416:Back Pain / Q000175:diagnosis*; D003936:Diagnosis, Computer-Assisted / Q000592:standards; D003937:Diagnosis, Differential; D003951:Diagnostic Errors; D005069:Evaluation Studies as Topic; D006801:Humans; D012585:Sciatica / Q000175:diagnosis*