title: Artificial intelligence in the diagnosis of low back pain.
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.
authors.affiliation: Department of Orthopaedics & Rehabilitation, University of Miami School of Medicine, Florida.
authors.forename: N H
authors.initials: NH
authors.lastname: Mann
authors.forename: M D
authors.initials: MD
authors.lastname: Brown
mesh_terms: D001185:Artificial Intelligence; D001416:Back Pain / Q000175:diagnosis*; D003936:Diagnosis, Computer-Assisted; D006801:Humans