Bringing functional brain image analysis to the clinician: Initial assessment of an online interactive diagnostic aide

Kristin R. Munch, John V. Carlis, Jose V. Pardo, Joel T. Lee

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Image database extensions for functional brain images were assessed by asking clinicians questions about (i) diagnosis confidence level before and after using the software; (ii) expected and unexpected differences between patient and control images; and (iii) an overall rating of the future usefulness of this application in an everyday clinical setting. Examining the difference image of a patient compared to a normative group affects the clinicians' initial diagnosis of the patient in two-thirds of the cases. All three clinicians stated that the interface would be a useful tool when added to the clinical workup of a patient.

Original languageEnglish (US)
Pages (from-to)155-164
Number of pages10
JournalComputers in Biology and Medicine
Volume38
Issue number2
DOIs
StatePublished - Feb 2008

Bibliographical note

Funding Information:
This work was supported by the National Institutes of Health/National Institutes of Mental Health Human Brain Project Grant R01 AG20852. We would like to thank Drs. Maurice Dysken, John R. McCarten, Howard Fink, and Michael Kuskowski for their insightful comments and participation in this study.

Keywords

  • Brain
  • Clinical decision support systems
  • Computer-assisted diagnosis
  • Image interpretation
  • Medical image database
  • PET scan

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