title: Structured computer-based training in the interpretation of neuroradiological images.
abstract: Computer-based systems may be able to address a recognised need throughout the medical profession for a more structured approach to training. We describe a combined training system for neuroradiology, the MR Tutor that differs from previous approaches to computer-assisted training in radiology in that it provides case-based tuition whereby the system and user communicate in terms of a well-founded Image Description Language. The system implements a novel method of visualisation and interaction with a library of fully described cases utilising statistical models of similarity, typicality and disease categorisation of cases. We describe the rationale, knowledge representation and design of the system, and provide a formative evaluation of its usability and effectiveness.
authors.affiliation: Educational Technology Research Group, School of Electronic and Electrical Engineering, University of Birmingham, Edgbaston, B15 2TT, Birmingham, UK. m.sharples@bham.ac.uk
authors.forename: M
authors.initials: M
authors.lastname: Sharples
authors.forename: N P
authors.initials: NP
authors.lastname: Jeffery
authors.forename: B
authors.initials: B
authors.lastname: du Boulay
authors.forename: B A
authors.initials: BA
authors.lastname: Teather
authors.forename: D
authors.initials: D
authors.lastname: Teather
authors.forename: G H
authors.initials: GH
authors.lastname: du Boulay
mesh_terms: D001185:Artificial Intelligence; D003194:Computer-Assisted Instruction; D005544:Forecasting; D006801:Humans; D009462:Neurology / Q000193:education*; D009485:Neuroradiography; D011871:Radiology / Q000193:education*