Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic erro ....Predicting the diagnostic performance of individuals and organisations. Predicting the diagnostic performance of individuals and organisations. This project aims to address diagnostic error in advanced technology systems, by providing a mechanism to assess and improve individual diagnosticians’ performance. Organisations that rely on their employees’ diagnostic skills rarely assess them once the operators become qualified, so there is no basis for interventions that might prevent diagnostic errors affecting thousands. This research tests a new method of assessing diagnostic skills based on how skilled operators respond to cues. This project will test how employees’ diagnostic skills change and whether this change corresponds to measures of organisational performance. This research is expected to provide organisations with a tool to pre-empt diagnostic errors that could minimise costs to the economy.Read moreRead less
In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases ....In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases in satellite and diagnostic imaging, respectively, among other applications. For the first time, the combination of how a computer analyses an image and how an expert interprets it will be used as a common language to enable machines to process visual information in a manner that mimics the way human brains do.Read moreRead less