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.
Aims / Objectives
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