Medical Information Sciences Vortragsreihe (2 CME Punkte) Prof. Dr. Christoph Hoog Antink

Prof. Dr. Christoph Hoog Antink
(Chair of Artificially Intelligent Systems in Medicine, Technical University of Darmstadt)

„Can’t Touch This! - Unobtrusive Sensing Using Artificial Intelligence“

A common theme of many science-fiction scenarios is that the physician of the future seems to be able to wirelessly scan a person and determine his or her health status without physical interference. A common theme of today’s diagnostics is the use of invasive procedures, stationary devices, wires, adhesive-based connections, and the associated limitations in flexibility and comfort. At the same time, the development of sensing modalities for unobtrusive sensing is ever increasing, both in the scientific community as well as in the industry. In part, this ever-accelerating development is fueled by the developments in artificial intelligence. In this talk, we will explore how artificial intelligence, in particular machine learning,sensor fusion, and computer vision may be used to extract diagnostic  information using cameras and other types of unobtrusive sensors.
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Christoph Hoog Antink received the M.S. degree in mechanical engineering from the University at Buffalo, USA, in 2011, and the Dipl. Ing. and Dr. Ing. (Ph.D.) degrees in electrical engineering from RWTH Aachen University, Germany, in 2012 and 2018, respectively. Until the end of 2020, he was the Head of the Medical Signal Processing Group at the Chair for Medical Information Technology, RWTH Aachen. 
Since then, Christoph Hoog Antink is an Assistant Professor (tenure track) and the Head of KIS*MED (AI Systems in Medicine Laboratory), TU Darmstadt, Germany. His research interests include unobtrusive sensing of vital signs, sensor fusion, and machine learning in medicine.
Date: November 14th 2023 (starting 5:30 pm)

Place: Lecture Hall N2045 (Faculty of Applied Informatics)
 
The lecture will be live-streamed to the conference room of the Institute for Digital Medicine (IDM, Gutenbergstr. 7, 86356 Neusäß, room 01.B001, first floor). 
 
Please note that from now on there will be a further option to attend the lecture series including all upcoming lectures via live-streaming at the Main Building of the University Hospital Augsburg, Section A (first floor), room 366 (next to the Radiology´s / Neuroradiology’s directory)!