title: Clinical decision support systems and computer-aided diagnosis in otology.
abstract: OBJECTIVE
  We reviewed the progress of the implementation of expert diagnostic systems in the field of otology.
  
  
  METHODS
  We conducted a review of the literature at a research institute.
  
  
  RESULTS
  The utilization of expert diagnostic systems in otology is very limited. Previous applications focused primarily upon the diagnosis of vertiginous disorders with the use of deterministic algorithms and, more recently, with adaptive algorithms such as neural networks.
  
  
  CONCLUSIONS
  Expert systems provide greater diagnostic accuracy to physicians across a wide range of medical specialties. The success of such a system depends upon the strength of its reasoning algorithm, the validity of its knowledge base, and its ease of use.
  
  
  CONCLUSIONS
  There have been no attempts to develop an adaptive expert system for the full range of otological conditions. Such a tool may be of great use to physicians as a diagnostic aid and educational resource, particularly for those located in isolated sites.
authors.affiliation: Ear Science Institute Australia and the Ear Sciences Centre, School of Surgery and Pathology, the University of Western Australia, Perth, Western Australia.
authors.forename: Leigh S
authors.initials: LS
authors.lastname: Goggin
authors.forename: Robert H
authors.initials: RH
authors.lastname: Eikelboom
authors.forename: Marcus D
authors.initials: MD
authors.lastname: Atlas
mesh_terms: D020000:Decision Support Systems, Clinical; D003936:Diagnosis, Computer-Assisted; D005103:Expert Systems; D006801:Humans; D010036:Otolaryngology / Q000379:methods / Q000639:trends; D010038:Otorhinolaryngologic Diseases / Q000175:diagnosis*