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Applied AI Accelerator (A3) Lab

Applied AI Accelerator (A3) Lab

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The Applied AI Accelerator (A3) Lab is a collaboration between the University of Groningen (RUG) and the University Medical Centre Groningen (UMCG) dedicated to bridging the gap between technical AI research and practice through clinical validation. The lab aims to accelerate the development, validation, and deployment of safe, effective, and ethically sound AI solutions that enhance patient outcomes, empower healthcare professionals, and create sustainable value for the healthcare system. The research is structured around three key work packages: predictive analytics and computer vision for optimized treatment planning, generative AI for reducing administrative burden, and agentic AI for integrating these capabilities into autonomous clinical workflows. All of them emphasize explainable AI and causal inference to ensure transparency, accountability, and clinical trust.

Sustainable Development Goals

About the lab

Research projects

The Applied AI Accelerator Lab focuses on the following research projects:

 

Predictive Analytics and Computer Vision – This project focuses on developing and clinically validating tools for supporting personalized treatment selection and precision medicine. It leverages predictive modeling and computer vision to analyze medical images like X-rays, CT scans, and MRIs, helping clinicians forecast disease incidence, diagnosis, and treatment outcomes to enable earlier interventions.

 

Generative AI – This aims to adapt existing large language models (LLMs) and ambient listening technologies specifically for Dutch healthcare workflows. The ultimate goal is to transform clinical documentation processes and reduce administrative burdens, freeing up valuable time for patient care and mitigating physician burnout.

 

Agentic AI – Explores the next frontier of healthcare automation by designing proactive, autonomous systems that can independently orchestrate tasks across clinical workflows. It focuses on the robust validation and responsible tuning of modular, multi-agent architectures to local clinical data, ensuring safe, context-aware, and human-in-the-loop operations that comply with regulatory standards like the EU AI Act.

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Partners

Rijksuniversiteit Groningen (RUG) is a leading academic institution that focuses on the theoretical development of AI, providing the essential scientific rigor, advanced methodologies, and academic framework for the lab’s PhD candidates.

 

Universitair Medisch Centrum Groningen (UMCG) is a prominent academic medical center that provides the direct financial funding, secure clinical data environment, and operational hospital setting required to test and validate the lab’s AI solutions in real-world workflows.

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