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Webinar on AI-driven research projects for Hospitals. How to face them?

5 - March

How tough is it to deal with all the practicalities of data sharing for AI-driven research?

Navigating the landscape of data sharing in AI-driven research is similar to traversing a complex labyrinth fraught with challenges and obstacles. We are living a paradigm switch from a traditional approach to clinical and scientific research to a system that calls for interdisciplinarity from the beginning. Today’s research landscape demands collaboration from inception.

Working together with ethical committees, data protection officers, and legal experts is unusual for many but necessary for whoever will work on AI-driven projects. In our discussion, we will go through the organizational challenges and the steps required to support smooth access to data for AI applications and accelerate the development process of AI tools.

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