Find a company
AiSentia Ltd's AI, a deep learning generative adversarial network, extract information beyond what radiologists can see on a routine non-contrast CT scan, without the need of radiographic contrast media injection. The AI is trained with paired noncontrast and contrast enhanced CTs from patients with abdominal aortic aneurysms in a k-fold cross-validation approach with a training/testing split. AI performance has been evaluated with independent validation patients as measured by aneurysm lumen segmentation accuracy 86% and thrombus spatial morphology classification accuracy 94%. Delivering accurate and efficient extraction of the morphological and pathological features of the entire aortic volume from both noncontrast and contrast enhanced CT scans.
| Project | Next-Generation computerised tomography (CT) imaging using CT Digital Contrast to replace current standard iodinated contrast agent – A feasibility study of clinical and environmental impact |
|---|---|
| Description |
This technology will de-carbonize CT imaging by reducing the levels of iodine in hospital wastewater / the wider environment, the amount of packaging (needle/pump injector plastic tubing, etc.), as well as the supply chain required. All achieved while providing a patient-first approach with seamless integration into current clinical workflows that increases procedure efficiency. |
| Funding | £ 99,420 |
| Competition | Competition 22 - Delivering a net zero NHS: Clinical Innovation Competition |
| Competition Date | July 2022 |
| Categories | Net zero |
| Health Innovation Network Partner | Health Innovation Oxford & Thames Valley |
| Website | https://aisentia.com/ |