2970122

Source:http://linkedlifedata.com/resource/pubmed/id/2970122

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0003916, umls-concept:C0011900, umls-concept:C0030193, umls-concept:C0036396
pubmed:issue	2
pubmed:dateCreated	1988-9-13
pubmed:abstractText	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.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/7610646
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Feb
pubmed:issn	0362-2436
pubmed:author	pubmed-author:HendryDD, pubmed-author:MathewBB, pubmed-author:NorrisDD, pubmed-author:WaddellGG
pubmed:issnType	Print
pubmed:volume	13
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	168-72
pubmed:dateRevised	2009-7-9
pubmed:meshHeading	pubmed-meshheading:2970122-Back Pain, pubmed-meshheading:2970122-Diagnosis, Computer-Assisted, pubmed-meshheading:2970122-Diagnosis, Differential, pubmed-meshheading:2970122-Diagnostic Errors, pubmed-meshheading:2970122-Evaluation Studies as Topic, pubmed-meshheading:2970122-Humans, pubmed-meshheading:2970122-Sciatica
pubmed:year	1988
pubmed:articleTitle	Artificial intelligence in the diagnosis of low-back pain and sciatica.
pubmed:affiliation	Neurosurgical Department, Frenchay Hospital, Bristol, England.
pubmed:publicationType	Journal Article, Clinical Trial, Controlled Clinical Trial, Research Support, Non-U.S. Gov't