AI and the future of radiology

Speaker: Professor Daniel Rueckert
Alexander von Humboldt Professor for AI in Medicine and Healthcare at the Klinikum rechts der Isar, Technical University of Munich
Director of the Institute for AI and Informatics in Medicine
Professor of Visual Information Processing in the Department of Computing at Imperial College London

Title: AI and the future of radiology

Date: Monday, 14 April 2025

Time: 11:00am - 12noon

Venue: Room 4504 (via lift 25/26), HKUST

Abstract:

Artificial Intelligence (AI) is changing many fields across science and our society. This talk will discuss how AI is changing medicine and healthcare, particularly in radiology. I will focus on how AI can support the acquisition of medical images and image analysis and interpretation. This can enable the early detection of diseases and support the improved personalised diagnosis. I will show several examples of this in the talk, including cardiovascular MR imaging. Furthermore, we will discuss how AI solutions can be privacy-preserving while also providing trustworthy and explainable solutions for clinicians.

Biography:

Daniel Rueckert is an Alexander von Humboldt Professor for AI in Medicine and Healthcare at the Klinikum rechts der Isar, Technical University of Munich, where he is also Director of the Institute for AI and Informatics in Medicine. He is also a Professor of Visual Information Processing in the Department of Computing at Imperial College London. As part of his research activities, he has published over 500 journal and conference articles with over 100,000 citations (h-index 137), graduated over 50 PhD students and supervised and mentored over 40 post-docs. Currently, he is a senior member of the editorial board of Medical Image Analysis, and has served as an associate editor of IEEE Transactions on Medical Imaging, IEEE Transactions on Pattern and Machine Intelligence and Image and Vision Computing and as a referee for several international journals and conferences in the area of Artificial Intelligence, Computer Vision and Medical Imaging. He has been elected as Fellow of the MICCAI Society (2014), Fellow of the Royal Academy of Engineering (2015), Fellow of the IEEE (2015), Fellow of the Academy of Medical Sciences (2019), Fellow of the European Laboratory for Learning and Intelligent Systems ELLIS (2021), Fellow of the American Institute for Medical and Biological Engineering (2021) and Fellow of the German National Academy of Sciences Leopoldina (2023). He is recipient of the Gottfried Wilhelm Leibniz Prize (2025) which is most important German research prize endowed with 2.5 million euros by the German Research Foundation (DFG).

https://www.professoren.tum.de/en/rueckert-daniel
https://aim-lab.io/