Stroke Imaging And Clinical Database For AI

Stroke treatment often involves resource intensive, potentially harmful treatments, including interventional neuroradiology, vascular surgery and neurosurgery, making individualised treatment decisions very important. Clinical decision-making requires mentally combining data from fragmented sources, especially imaging and clinical information. Data linkage and artificial intelligence based predictive modelling has the potential to transform clinical decision-making.

This project will produce a repository of routinely collected NHS stroke clinical and imaging data, curated to enable the development of artificial intelligence software for clinical applications. The design and plan of a data pipeline, centred around the NBT Data Warehouse, PACS and Electronic Patient Record, will be made scaleable to include other health, social care and research data sources.