Bringing functional brain image analysis to the clinician: initial assessment of an online interactive diagnostic aide.
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.
Munch
Kristin R
KR
Computer Science and Engineering, Cognitive Neuroimaging Unit , University of Minnesota, Minneapolis, MN 55417, USA. munch@cs.umn.edu
Carlis
John V
JV
Pardo
Jose V
JV
Lee
Joel T
JT
D001921:Brain / Q000473:pathology*; D016208:Databases, Factual; D020000:Decision Support Systems, Clinical; D003704:Dementia / Q000175:diagnosis*; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D009862:Online Systems; D049268:Positron-Emission Tomography; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D011795:Surveys and Questionnaires; D014584:User-Computer Interface