NetZeroAICT will revolutionise healthcare by reducing the environmental footprint created by CT scans, which are one of the most commonly performed clinical scans in healthcare systems. CT scans are estimated to result in 3 mega tonnes of CO2 emission globally (9kg/scan), and iodinated RCM required for CT scans further accounts for 3% of pharmaceutical waste released into the wastewater (estimated 200,000 tonnes of iodine/year). We aim to reduce 30% of this environmental footprint by 2033 by deploying the Digital Contrast AI in all European countries.
Ultimately, NetZeroAICT is expected to refine the AI / deep learning pipeline to simulate contrast enhancement in CT images in a pathology-agnostic manner.
The Challenge:
- Every year, millions of CT scans are performed worldwide.
- Many of these scans require radiocontrast media, which:
- Poses potential risks to patient health.
- Contributes to environmental pollution.
- Adds to the substantial carbon footprint.
Their Solution:
- NetZeroAICT is harnessing the power of artificial intelligence to create a future where ‘Digital Contrast’ CT scans are the norm.
- By eliminating the need for traditional contrast agents, we aim to:
- Reduce environmental impact.
- Enhance patient safety.
- Lead the charge towards a NetZero future in healthcare.
