Academic Lead: Prof Reza Razavi
Clinical Lead: Dr Amedeo Chiribiri
Partner: Siemens Healthineers
Coronary Artery Disease (CAD) is a complex disease and the landscape of diagnostics, clinical guidelines, appropriate use of diagnostic and therapeutic steps, and therapy options are changing rapidly.
MRI and CT imaging is used to diagnose acute myocarditis that can present as chest pain. While non-invasive imaging can clear most patients of significant disease, there are hundreds of images that require analysis and radiology reporting represents a major bottleneck in decision-making.
In collaboration with Siemens Healthineers, we are developing a prototype AI Pathway Companion application for patients with suspected or known CAD. Our AI application will automatically interpret scans and help identify patients at low risk to shorten hospital stays.
To complement this, we are also creating a computer-aided software to help guide clinical decisions and diagnosis that will standardise the clinical pathway from patient contact, triage and decision-making.
This tool will foster individualised precision medicine and improve clinical and operational outcomes in the NHS.