Our overarching goal for the inaugural Mexico-Germany Hybrid Summer School in Medical Informatics is to ignite a powerful and enduring collaboration between TU Braunschweig and UNAM. We aim to create a vibrant interdisciplinary learning environment that not only introduces participants to cutting-edge advancements in medical informatics but also fosters a strong network of future professionals and researchers across borders. This first chapter is about laying the foundation for a sustained exchange of knowledge, ideas, and cultural understanding in this vital field.
Specific Objectives
● Describe AI applications in areas such as imaging, signals, LLMs, robotics, or Internet of Medical Things (IoMT), and emphasizing the critical role of software systems and interoperability in their integration.
● Discuss the key ethical considerations surrounding the implementation of AI in healthcare, referencing specific examples.
● Promote transdisciplinary, simulation-based, and personalized learning experiences to democratize AI literacy in medicine, leveraging decentralized, open-access, and ethically grounded pedagogical strategies.
● Collaborate effectively in interdisciplinary teams to address challenges in medical informatics.
● Recognize the importance of gender equity and sustainability in the field of medical informatics.
● Articulate potential avenues for future research and collaboration within the Mexico-Germany context.