Date
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Speaker
Prof. Dr. Kurt Stockinger
Multi-Modal Exploration of Medical Data with Agentic AI
Generative AI and Large Language Models (LLMs) have become integral to modern data systems both in academia and industry. However, a critical limitation of LLMs is their tendency to produce non-factual outputs, commonly referred to as hallucinations. In this talk, recent results of leveraging agentic AI technologies for multi-modal data exploration in medicine will be presented, where datasets comprise heterogeneous modalities, including structured numerical data, unstructured text, and visual content. Kurt Stockinger, professor at the ZHAW School of Engineering, will demonstrate how agentic AI systems can be used to query such multi-modal datasets in natural language and thus provide the medical personnel with a powerful tool to gain new insights into their patient data in an intuitive way.
About Kurt Stockinger
Prof. Dr. Kurt Stockinger is Professor of Computer Science, Director of Studies in Data Science, and Head of the Intelligent Information Systems Group at Zurich University of Applied Sciences. He is also affiliated with University of Zurich. Kurt Stockinger’s research focuses on Data Science with emphasis on Big Data, Natural Language Query Processing, Query Optimization and Quantum Computing. Essentially, his research interests are at the intersection of information systems, natural language processing and machine learning. Previously Kurt Stockinger was a visiting scholar at University of Washington in Seattle, Washington, USA, he worked at Credit Suisse in Zurich, Switzerland, at Lawrence Berkeley National Laboratory in Berkeley, California, USA, at California Institute of Technology in Pasadena, California, USA, as well as at CERN in Geneva, Switzerland. He holds a Ph.D. in computer science from CERN / University of Vienna.