Artificial intelligence in the diagnosis of low back pain

N. H. Mann, Mark Brown

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

Computerized methods are used to recognize the characteristics of patient pain drawings. Artificial neural network (ANN) models are compared with expert predictions and traditional statistical classification methods when placing the pain drawings of low back pain patients into one of five clinically significant categories. A discussion is undertaken outlining the differences in these classifiers and the potential benefits of the ANN model as an artificial intelligence technique.

Original languageEnglish
Pages (from-to)303-314
Number of pages12
JournalOrthopedic Clinics of North America
Volume22
Issue number2
StatePublished - Jan 1 1991

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Neural Networks (Computer)
Artificial Intelligence
Low Back Pain
Pain

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine
  • Surgery

Cite this

Artificial intelligence in the diagnosis of low back pain. / Mann, N. H.; Brown, Mark.

In: Orthopedic Clinics of North America, Vol. 22, No. 2, 01.01.1991, p. 303-314.

Research output: Contribution to journalArticle

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