Data science in general, and artificial intelligence (AI) including machine learning in particular, will fundamentally transform society, including the healthcare sector. AI is expected to become an integral part of our daily health, healthcare, health research, and health education. It will impact everyone: patients, citizens, employees, teachers, and students. Diagnosis, prognosis, prevention, treatment, monitoring and screening of health and diseases will all be impacted. For the UMC Utrecht, this means that the way of working, doing research and providing education will change significantly. Data Science and AI will therefore become a focus of our health(care) research and education in the coming era.
AI Labs at UMC Utrecht
At the AI Labs, UMC Utrecht collaborates with public and private organisations as well as other knowledge institutions on societal issues pertaining to AI and data science.
About Data Science, Artificial Intelligence and Machine Learning
Aligning AI initiatives
The UMC Utrecht aims to be a leading expertise and research center for AI in health(care), nationally and internationally. Our data science and AI activities are developed throughout the UMC Utrecht and embedded in our organisational structure. Besides optimizing and streamlining our already existing data science expertise at UMC Utrecht, we also aim to create a sustainable data science infrastructure. With this focus, UMC Utrecht will establish long term collaborations with relevant national and international private and public parties.
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Ambition
The UMC Utrecht data science program aims to integrate data science and AI into daily healthcare, health research, and health education. It also focuses on establishing a collaborative community and infrastructure for "AI in Health" between UMC Utrecht and Utrecht University (UU), while setting up five "Health AI labs" within the Utrecht Life Sciences community.
The UMC Utrecht data science program includes:
- making data science and AI embedded in our daily health care, health research, and health education aligned with our regional, national, and international partners within ten years;
- establish a sustainable collaborative UMC Utrecht-UU ‘AI in Health’ community and infrastructure ;
- establish 5 ‘Health AI labs’ at the UMC Utrecht and the UU, within the Utrecht Life Sciences community;
- attract and retain data science and AI talent, both from public and private parties.
The themes of the Health AI Labs represent the data science and AI research expertise and will cover existing and future novel projects aligned with the UMC Utrecht and UU (& ULS) strategies.
Health AI Labs at UMC Utrecht
AI Methods
Imaging and Image Guided Interventions
Contact
For general inquiries about the Health AI labs at UMC Utrecht, you can contact:
Carl Moons - Coordinator
Harry Pijl - Program Manager
Roëlle de Koning - Program Manager