Beyond the AMPEL and the Clinical Decision Support Network (XtraTrack Season 2026)
Overview
20-04-2025 16:00
Medical teams face increasing data complexity. The AMPEL platform offers a non-profit, open-source solution for real-time Clinical Decision Support. Recently, it enabled Leipzig University Medical Center to launch Germany’s first in-house medical device software. Join this talk to explore how this evidence-generating AI infrastructure enables hospitals to bridge the gap between research and routine care through in-house solutions.
Prof. Dr. Toralf Kirste, - University Hospital Leipzig
Prof. Dr. Toralf Kirsten is Professor of Medical Data Science at Leipzig University. He heads the Department of Medical Data Science at the Medical Informatics Center at the Leipzig University Medical Center and is also affiliated with the Institute for Medical Informatics, Statistics and Epidemiology at the Medical Faculty.
Previously, Prof. Dr. Kirsten served as a Full Professor for Databases and Information Systems at the Mittweida University of Applied Sciences, the largest institution of its kind in Saxony. From 2002 to 2017, he was a scientific member of various institutions at Leipzig University, including the Interdisciplinary Center for Bioinformatics, the LIFE Research Center, and the Database Group at the Institute for Computer Sciences. He earned his Ph.D. in 2007 from the Computer Science Department of Leipzig University with a thesis focusing on data integration approaches in the Life Science domain.
His research interests are broad, ranging from the application of machine and deep learning techniques to patient care data to core computer science topics such as infrastructures for distributed computing and clinical decision support systems (CDSS). In this field, Prof. Dr. Kirsten and his team are developing the AMPEL system, a new type of CDSS. They utilize these infrastructures to execute analyses across different participating data sites and to integrate results—such as machine learning models—into daily clinical routines to support physicians in their work.
Furthermore, Prof. Dr. Toralf Kirsten is active in several Germany-wide working groups at the national level, aiming to facilitate the sharing of scientific data and the distributed analysis of fragmented data. In this context, he is involved in the development of the Personal Health Train (PADME) and the PrivateAIM project.</p>
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