In this project we are working to develop & integrate Canons’ (i) Safe Haven Artificial Intelligence Platform (SHAIP) & (ii) Clinical Cockpit for AI Evaluation (AI Cockpit) within Glasgow & Grampian NHS Safe Havens. This infrastructure will facilitate the development & evaluation of machine learning algorithms trained on SHAIP in a hospital setting and within the clinical workflow environment.

The key objectives of this project are:

• Specification, research, development, testing & documentation of software for SHAIP and Clinical Cockpit systems.
• Research into safe, secure, explainable AI to enable robust adversarial testing of algorithms trained on SHAIP in addition to research into AI for de-identification of clinical text.
• Integration with hospital and safe-haven systems, including establishment of appropriate required governance, validation, commissioning and support of live systems

Work Package Leader:   Canon Medical Research Europe

Contributing Partners:   NVIDIA, University of Glasgow, University of Edinburgh,
NHS Greater Glasgow & Clyde

https://research.eu.medical.canon/specialism/technology-research-and-development/shaip

https://www.rcr.ac.uk/

https://www.healthcareers.nhs.uk/explore-roles/doctors/roles-doctors/clinical-radiology

http://www.sinapse.ac.uk/