Research & Projects
Collaborative research shaping sustainable, responsible AI in medical imaging
Dr. Erik Ranschaert is involved in international research initiatives that explore how artificial intelligence can be applied responsibly, sustainably, and effectively in medical imaging.
His work connects academic research, clinical practice, and real-world implementation, with a strong focus on validation, workflow integration, and long-term impact.
NetZeroAICT (Horizon Europe)
Advancing sustainable, patient-centred CT imaging with AI
Role & Responsibility
Dr. Erik Ranschaert serves as Work Package Leader within the NetZeroAICT Horizon Europe project. His work focuses on the development, implementation, and clinical validation of AI-driven imaging solutions, ensuring they are safe, effective, and ready for integration into real-world radiology workflows.
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His responsibilities include guiding validation strategies, overseeing clinical evaluation, and aligning technological innovation with ethical, regulatory, and workflow requirements.
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About the Project
NetZeroAICT is a large-scale European research initiative that brings together hospitals, universities, and technology partners to rethink CT diagnostics through artificial intelligence. The project explores how advanced AI techniques can enhance image quality while reducing the environmental footprint of CT imaging.
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A central objective is the development of AI-based image enhancement methods that can reduce or replace iodine-based contrast agents, supporting safer, more comfortable examinations without compromising diagnostic accuracy.
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The project contributes to the emerging field of Green Radiology, where sustainability, clinical quality, and technological innovation are closely aligned.
Key Research Focus Areas
IFU Validation Studies
AI Image Quality Research
Designing and overseeing studies to ensure AI algorithms meet regulatory, technical, and clinical performance standards.
Developing AI-driven techniques to enhance CT images, reduce reliance on contrast agents, and maintain diagnostic accuracy.
Sustainability & Impact
NetZeroAICT places strong emphasis on the environmental impact of medical imaging. The project addresses energy consumption in AI-supported CT workflows and explores strategies for more sustainable infrastructure and resource use.
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Erik’s involvement aligns with his broader research on sustainable AI, including his role as editor of the forthcoming book Sustainability of AI in Radiology (2026), which examines the long-term ecological and operational implications of AI in healthcare.
Collaboration & Funding
NetZeroAICT is funded by the Horizon Europe Research and Innovation Programme (Grant Agreement No. 101136679) and UK Research and Innovation.
The consortium includes leading academic, clinical, and technology partners across Europe, with active collaboration between radiology departments, AI developers, and research institutions.
Why this Matters
By combining clinical expertise, rigorous validation, and sustainable design principles, NetZeroAICT demonstrates how AI can support high-quality diagnostics, patient safety, and environmental responsibility—without compromising clinical performance.
Interested in research collaboration or clinical validation projects?
Get in touch to explore opportunities.
Robovision BrainMets AI
Brainmets.ai
Role: Concept initiator and clinical advisor
Robovision Covid
Role: Clinical and scientific advisor
Dr. Erik Ranschaert launched the BrainMets.ai project as part of his collaborative appointment with the Netherlands Cancer Institute (NKI), aiming to improve clinical workflows through AI.
He contributed to the project's conceptual development and worked closely with Dr. Laurens Topff and Prof. Dr. Regina Beets-Tan, offering clinical insights and helping ensure AI development aligns with real-world radiology workflows.
Dr. Erik Ranschaert served as a clinical and scientific advisor to a multi-center European initiative using AI to detect COVID-19-related lung abnormalities on CT scans.
He contributed through clinical guidance, coordination with radiologists, and helping connect an international network of hospitals to advance AI development.
Z-VISIE Project
At Z-Visie, Dr. Erik Ranschaert contributes his clinical, academic, and research expertise to support the responsible adoption of artificial intelligence in medical imaging and digital health.
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His role at Z-Visie sits at the intersection of research, strategy, and clinical validation. He advises on the evaluation and implementation of AI solutions, with particular attention to workflow integration, clinical relevance, and long-term sustainability. This includes aligning technological innovation with real-world radiology practice and regulatory frameworks.
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Through Z-Visie, his research-driven approach is applied beyond academia, connecting European research initiatives, such as Horizon Europe projects, with hospitals, healthcare networks, and technology partners.
The focus remains on evidence-based decision-making, transparent validation, and human-centered use of AI in clinical environments.
Learn more about applied research and advisory work through Z-Visie.
