AIIC AI Intelligence Centre

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NetZeroAICT Digital Contrast for Computerised Tomography Towards Climate Neutral and Sustainable Health Systems

CORDIS · observation · Publication date unknown

obal emissions (2 Giga tonnes/yr). Of this, ~3 Mega tonnes/yr are generated from CECTs. The EU has declared its NetZero targets of by 2050 through the European Green Deal. We showed feasibility that artificial intelligence (AI, deep learning methods) can extract high level information from non-contrast CT scans and synthesise contrast ‘digitally’. This avoids the need to administer RCM for CECTs. We seek to develop and validate 5 uses cases of CT ’Digital Contrast’ during this Horizon award. By implementing ‘Digital Contrast’ for scans globally, we aim to reduce 30% of the CO2e and iodine RCM waste generated from CECTs by 2033. NetZeroAICT has a grand vision to define a reference framework for scalable development of AI health tools for a future of sustainable health systems. This builds on our prior efforts of AICT consortium, which was established to make CT imaging safer, more efficient, more equitable and more sustainable. NetZeroAICT will accelerate the EU’s trajectory towards NetZero and advance EU’s globally recognized leadership position on Healthcare sustainability. Artif

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recordType
award
status
SIGNED
region
EU
value
3791075
unit
EUR

Evidence & attribution

European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.

License: CORDIS reuse policy

First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.