Photography of student audience

About The KEMAI Spring School

Modern AI systems hold many promises when applied in medicine. However, they also come with their own set of challenges. They are often not interpretable, they depend on large amounts of expert annotated data, and their outcome might deviate from the decision of a medical expert - just to name a few. Therefore, in this spring school, we would like to focus on these challenges by exploring the synergies of rule- and learning-based medical systems, not only from a computer science perspective, but also by considering ethical implications.

This spring school event addresses students on the verge of an accademic career with a strong base of knowledge and skills in artificial intelligence.

Speakers

To investigate the questions addressed in this summer school, internationally renowned speakers will highlight different aspects of medical AI:

Portrait of J. Amann
Julia Amann

Postdoctoral Researcher
Dep. of Health Sciences and Tech­n­logy
ETH Zürich

Portrait of Katja Buehler
Katja Bühler

Scientific Director
VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH, Vienna

Portrait M. Dumontier
Michel Dumontier

Distinguished Professor
Institute of Data Science, Brightlands Institute for Smart Society, Maastricht University

Mennatallah El-Assady
Mennatallah El-Assady

Postdoctoral Researcher
ETH AI Center,
ETH Zürich

Portrait of B. Glimm
Birte Glimm

Professor
Research Group
Artificial Intelligence
Ulm University

Prof. Dr-Ing H. Hahn
Horst Hahn


Institute Director
Fraunhofer Institute for Digital Medicine
MEVIS Bremen

Prof. Dr A. Hennemuth
Anja Hennemuth


Chair of
Data science and Medical image processing,
Charité Berlin

P. Lucht
Petra Lucht


Chair of Gender in STEM and Urban and Regional Planning. Feminist Studies in Science, Technology and Society (Feminist STS), TU Berlin

Prof. Dr-Ing. L. Maier-Hein
Lena Maier-Hein

Head of Department, Managing Director of
Data Science and Digital Oncology, Deutsches Krebsforschungszentrum (Helmholtz-Gesellschaft)

A. Kazeroonian
Atefeh Kazeroonian


Group Leader
Institute for Medical Microbiology, Immunology and Hygiene,
TU Munich

 N. Navab
Nassir Navab


Chair of
Computer Aided Medical Procedures and Augmented Reality,
TU Munich

 N. Navab
Michael Sühling


Head of
CT Image Analytics Predevelopment
Computed Tomography Division,
Siemens Healthineers, Forchheim

Our Sponsors

The Spring School Knowledge Infusion and Extraction for Explainable Medical Artificial Intelligence is supported by