Uploaded January 2026 | Updated September 2026, 2 weeks ago
In this video, Daniel Rueckert (TUM, Imperial) presents 'AI for Cardiac Image Acquisition, Analysis, and Interpretation'.
Presentation Date: 11/01/23
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 providing trustworthy and explainable solutions for clinicians.
Bio: Daniel Rueckert is Alexander von Humboldt Professor for AI in Medicine and Healthcare at the Technical University of Munich. He is also Professor of Visual Information Processing in the Department of Computing at Imperial College London. He received a PhD from Imperial College in 1997. He has published more than 500 journal and conference articles in the area of medical image computing. He is currently an associate editor of IEEE Transactions on Pattern Recognition and Machine Intelligence and a member of the editorial board of Medical Image Analysis. In 2014, he has been elected as a Fellow of the MICCAI society, and in 2015 he was elected as a Fellow of the Royal Academy of Engineering in the UK and of the IEEE. More recently he has been elected as Fellow of the Academy of Medical Sciences in the UK (2019), as fellow of the American Institute for Medical and Biological Engineering (2021) and as member of Leopoldina, the German National Academy of Sciences (2023).
For more information, broadinstitute.org/ml4h
Copyright Broad Institute, 2025. All rights reserved.
In this video, Daniel Rueckert (TUM, Imperial) presents 'AI for Cardiac Image Acquisition, Analysis, and Interpretation'.
Presentation Date: 11/01/23
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 providing trustworthy and explainable solutions for clinicians.
Bio: Daniel Rueckert is Alexander von Humboldt Professor for AI in Medicine and Healthcare at the Technical University of Munich. He is also Professor of Visual Information Processing in the Department of Computing at Imperial College London. He received a PhD from Imperial College in 1997. He has published more than 500 journal and conference articles in the area of medical image computing. He is currently an associate editor of IEEE Transactions on Pattern Recognition and Machine Intelligence and a member of the editorial board of Medical Image Analysis. In 2014, he has been elected as a Fellow of the MICCAI society, and in 2015 he was elected as a Fellow of the Royal Academy of Engineering in the UK and of the IEEE. More recently he has been elected as Fellow of the Academy of Medical Sciences in the UK (2019), as fellow of the American Institute for Medical and Biological Engineering (2021) and as member of Leopoldina, the German National Academy of Sciences (2023).
For more information, broadinstitute.org/ml4h
Copyright Broad Institute, 2025. All rights reserved.
