Clinical ApplicatioN of DEep Learning and Intelligent Vision in Radiology: CAN DELIVeR
Wellcome Trust
University College Dublin
The workload associated with medical imaging has greatly increased both in terms of volume and complexity in recent years. The amount of clinicians trained in expert interpretation of these data has however, failed to keep pace with demand. This project encompasses the application of Machine Learning to specific radiology use cases. Imaging with MRI is the cornerstone of surveillance of patients with MS and underpins decision making around initiation of and modifications to therapy Reporting these images is a significant proportion of the reporting time of our Neuroradiologists. Artificial Intelligence, and especially machine and deep learning have been proposed as a potential solution. Computer Science (CS) groups who aim to tackle these issues may fail due to a lack of access to clinical insight and clinical data. Furthermore clinical groups may lack the CS expertise. Presently in Ireland there is no framework for clinicians with medical imaging problems, which could potentially be solved with machine vision, to interact with computer scientists with the expertise to solve these problems. We intend to apply solutions using novel computer science techniques to clinical problems with a particular focus on the assessment of interval change between scan acquisitions.
4.1 Discovery and preclinical testing of markers and technologies