Invited Talk – Prof. Dr. Christian Ledig: “Evolving Paradigms: The Future of Responsible AI in Healthcare beyond End-to-End Learning” – Wed, Nov 27th 2024, 13:30 – 14:30 CET
Join us for an exciting talk by Prof. Dr. Christian Ledig on “Evolving Paradigms: The Future of Responsible AI in Healthcare beyond End-to-End Learning”. Prof. Ledig, a recognized expert in explainable machine learning (XAI) and healthcare AI, will share perspectives from his research and industry background in developing robust AI systems aimed at improving diagnostic accuracy and accessibility in healthcare.
Date: Wednesday, Nov 27th 2024
Time: 13:00 – 14:30 CET
Location: E-Studio am RRZE, Martensstraße 1, Erlangen – Südgelände
Online: https://fau.zoom-x.de/j/95710128940?pwd=NE8zam55ZnNJd2prQjNuRWtQaVlNUT09
Recording: https://www.fau.tv/clip/id/55750
Abstract: As the Chair of Explainable Machine Learning at the University of Bamberg, Prof. Dr. Christian Ledig focuses on advancing transparency and reliability in healthcare AI. His work integrates AI solutions into medical diagnostics to reduce diagnostic errors and improve access to quality healthcare. In this talk, Prof. Ledig will share insights from his research, highlighting advancements that enhance AI interpretability and reliability, especially in clinical settings.
Short Biography: Prof. Ledig has over a decade of experience in machine learning, computer vision, and medical image analysis. Prior to joining University of Bamberg, he held senior roles in the US startup industry, including as Head of AI at VideaHealth in Boston and Senior Research Scientist at Imagen Technologies in New York, where he led the development of FDA-regulated AI technologies in medicine. Prof. Ledig has authored over 50 peer-reviewed publications, contributing significantly to the fields of XAI and healthcare AI, with highly cited work that ranks him among the top 2% of researchers globally. Earlier in his career, Prof. Ledig worked at Twitter, where he advanced machine learning approaches in image and video super-resolution. He also completed a PhD at Imperial College London, focused on robust segmentation of brain images in MRI. Prof. Ledig has made significant contributions to both industry and academia, driving innovation in machine learning and healthcare.
We look forward to an insightful presentation from Prof. Ledig and welcome everyone interested to join this event, whether in-person or online.