Distributed Intelligent Learning Environment for Screening Mammography

Paul M. Taylor, Joao Campos, Rob Procter, Mark Hartswood, Louise Wilkinson, Elaine Anderson, Lesley Smart

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

We are developing a computer based training system to support breast cancer screening. The prototype we are developing is a distributed Intelligent Learning Environment in which the work of collecting and annotating interesting cases will be shared and the experience of using the images will be pooled. It is only by creating a network of students and mentors across different clinical sites that we can hope to obtain the breadth and variety of experience required to build robust models of the screening context. Using a pragmatic approach, our design allows for exploratory and experiential learning. Such a design is more likely to succeed in a screening environment because the system will fit the needs of film readers without being prescriptive about how and what they should learn
Original languageEnglish
Title of host publicationVolume 125: Artificial Intelligence in Education
PublisherIOS Press
Pages926-928
Number of pages3
Publication statusPublished - 2005

Publication series

NameFrontiers in Artificial Intelligence and Applications
PublisherIOS Press
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

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