Health care is facing enormous challenges given the ageing of the population. The coming years, an increasing number of people will need care and less people will be available to provide that care. Additionally, the costs of health care will increase substantially. Big data, generated in research and in daily clinical practice, the accessibility of these data, and exploring them by AI/ML is essential to address these challenges. By doing so, we will get a better understanding of biology and disease, and we will have better prognostic and predictive models. This will enable us to provide more individualized and more efficient approaches to help individual patients and the population, which will contribute to the sustainability of health care.
Stefan Sleijfer
Dean, Erasmus MC

The impact of quantitative AI research will initially feed our wildest imaginations and then go beyond it, generating imaginations of its own that we may not even comprehend.
Chris de Zeeuw
Chair, Department of Neuroscience, Erasmus MC

Expertise and knowledge on AI and big data are rather scattered over multiple clinical and research departments. To really contributed as Erasmus MC to the development and implementation of AI-tools, more coordinated efforts are needed. Bringing people together for exchange and sharing information is a first important step
Aad van der Lugt
Chair, Department of Radiology and Nuclear Medicine, Erasmus MC

AI has started to reshape healthcare and translate in valuable applications for clinicians and basic researchers, for example discovering links between genetic information. So, AI as transforming technology comes with risks, and ethical and societal impacts we are aware of, but also must be developed specifically for basic research, where the return will rather be long-term and AI's full potential will require a long-term vision. The latter fits perfectly with future basic research of the highest caliber that is already establishing massive data sets at Erasmus MC.
Danny Huylebroeck
Chair, Department of Cell Biology, Erasmus MC

AI will be of great help with the challenges that we face in our health care system. As a clinician, I look forward to contribute to the implementation of AI into patient care.  I am convinced it will help us improve care for our patients, but different skills and education will be required. For this reason it is important that Erasmus MC, with its strong Convergence policy, is taking a leading role.
Robin Peeters
Chair, Department of Internal Medicine, Erasmus MC