KI-Kolloquium der Universität zu Lübeck

Forschungsarbeiten zum Thema Künstliche Intelligenz bilden einen Schwerpunkt der Sektion Informatik/Technik in Lübeck.

Wir stellen Ihnen hier das Programm unseres KI-Kolloquiums vor.

Ort: Seminarraum Institut für Theoretischen Informatik, Geb. 64, Rm 2021, 17.00 st bis 18.00

14.10.19Zentrale Ideen hinter Dynamic StaRAI (Dynamic Stochastic Relational AI)Prof. Dr. Ralf Möller
4.11.19Kausale InferenzProf. Dr. Maciej Liskiewicz
11.11.19Applications of Machine Learning in Biomedicine: From basic research to clinical translationProf. Dr. Lars Kaderali
Uni Greifswald
2.12.19Knowledge Graph EmbeddingsPD Dr. Özgür Özcep
13.1.20Differential Privacy as Strong Robustness in Machine LearningProf. Dr. Esfandiar Mohammadi
3.2.20Probabilistische Neuronale NetzeProf. Dr. Elmar Rückert

Abstract for the presentation on Nov. 11th

Lars Kaderali, Institute of Bioinformatics, University Medicine Greifswald

Artificial Intelligence (AI) and Machine Learning have the potential to fundamentally transform medicine. Applications range from basic biomedical research over improved diagnosis to therapeutic interventions. In some application domains, most notably in image-based diagnostics, algorithms are already outperforming human doctors, and are rapidly improving in performance also in other areas.

In my presentation, I will give several examples from our work at the University Hospital in Greifswald, showing how we employ machine learning and pattern recognition algorithms to improve medical data analysis and develop predictive models. I will show applications ranging from the development of predictive models from molecular data over the application of machine learning in the field of epidemiology to applications directly affecting treatment decisions at the patient’s bedsid