Projects per year
Methods: Scotland has a central archive of radiological data used to directly provide clinical care to patients. We have developed an architecture and platform to securely extract a copy of that data, link it to other clinical or social data sets, remove personal data to protect privacy, and make the resulting data available to researchers in a controlled Safe Haven environment.
Results: An extensive software platform has been developed to host, extract and link data from cohorts to answer research questions.
The platform has been tested on 5 different test cases and is currently being further enhanced to support 3 exemplar research projects.
Conclusions: The data available is from a range of radiological modalities, scanner types and collected under different environmental conditions. This “real-world”, heterogenous data is highly valuable for training algorithms to support clinical decision making, especially for deep learning where large data volumes are required. The resource is now available for international research access.
The platform and data can support new health research using Artificial Intelligence and Machine Learning technologies as well as enabling discovery science.
- Big Data
MICA: InterdisciPlInary Collaboration for EfficienT and Effective Use of Clinical Images in Big Data Health Care RESearch: PICTURES (Programme Grant) (Joint with Universities of Edinburgh and Abertay)
1/08/19 → 31/07/24
The Scottish eHealth Informatics Research Centre (E-HIRCs) (Joint with Universities of Aberdeen, Glasgow, Edinburgh, Strathclyde, St Andrews & Leicester and ISD)
1/03/13 → 31/12/18