At the core of the digitalisation and automation in medicine is the intelligent processing of sensor and other input data. Using and developing artificial intelligence for medical systems requires the understanding of the underlying processes and mechanisms. Technologies are rapidly evolving and more and more medical applications are benefitting from these approaches.  The aim of our seminar is to learn about the recent trends in signal processing and applied machine learning to process biomedical data and signals. The participants will study, critically assess, and present recent literature and technological advancements of artificial intelligence (AI) in medicine that drive developments in this exciting research field.

The student learns and practices to

• analyze multidisciplinary literature (MED + ENG + CS)
• stay up-to-date with a research topic
• critically assess quality of contributions
• disseminate findings in written and oral form

A list of relevant topics to select and focus the literature research on will be provided on moodle at the beginning of the semester. A topic has to be picked in the first week.

Sample topics

• descision support for sepsis management
• algorithms for automated sleep staging
• federated learning for biosignal processing
• prediction of stroke outcomes
• multimodal deep learning for early detection of neurodegenerative diseases
• single lead ECG estimations
• digital biomarkers
• radar-based biomedical signal processing
• wearable data interpretation with machine learning
• feature crafting vs deep learning

You will analyse the literature and technologies specific to a topic of your choice. During self-guided work you will elaborate a manuscript that covers your literature research.  In a final presentation you will be presenting your results. You will get support by input lectures providing you the basics of scientific work and presentation.

This module is also available for medical students, in German and slightly adapted form: MED12345.075 - W 658 Aktuelle Forschung der Künstlichen Intelligenz in der Medizin verstehen und erfolgreich präsentieren

This module is also available for computer science students focusing on database structures, in slightly adapted form to obtain 4 Credits: CS5900.148 - Seminar Research Trends in Data Centre Operation