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Keynote Speakers

Keynote Speakers_2024

Speaker: Prof. Julian Varghese

Affiliations: University Münster, Germany

Prof. Julian Varghese

Biography: Prof. Julian Varghese, is a computer scientist and medical doctor by training. He graduated at the medical school of University of Münster, finished his Bachelor and Master of Computer Science at the University of Hagen and the Imperial College London. He is an award winner of the European Federation of the Medical Informatics Association (EFMI), member of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS). Since 2021 he is associate and since 2023 full professor of Medical Informatics at the University of Münster. His research focusses on methods of Artificial Intelligence (AI) in Medicine, Medical Data Integration and Interoperability as well as Biomedical Informatics.

Speech Information

Title: Educating the Next Generation: Making Large Language Models Mandatory in Medical Training

Abstract:The deployment of Large Language models (LLMs) introduces significant opportunities in the medical domain. Starting from supporting medical documentation to clinical decision making, the applications appear boundless. However, this brings challenges such dissemination of existing societal biases or the generation of misinformation. To address a positive future for LLMs in medicine, balancing both opportunities and challenges, we have designed and implemented a new mandatory course for medical students as part of their core curriculum. It includes a 90-minute session divided into three parts: a technical overview of LLMs, a live Turing Test to experience and evaluate human versus machine-generated responses, and a practical group exercise to assess the application of LLMs in three different medical tasks. This paper discusses the course structure, release the implementation of our Turing Test and LLM communication interface, and provides an initial evaluation, illustrating the critical role of education and fostering responsible use of emerging LLM technology in healthcare and research.