Events

SEMS Seminar Series: Dr Guang Yang, Imperial

Date: Wednesday 10 May 2023 15:30 - 16:00

Location: SEMS Seminar Room (3rd floor in Engineering Building)

Title: Smart Imaging — On the AI’s Shoulder, See Healthcare’s Future

Abstract:

Artificial intelligence (AI) is transforming the healthcare industry, offering new opportunities to improve patient outcomes and streamline administrative tasks. However, many current AI studies in digital healthcare rely on manual labelling, which can lead to low reproducibility and limit the effectiveness of these approaches. In this context, there is a growing interest in developing state-of-the-art AI-based medical image analysis approaches that can address these limitations. One example is the segmentation of atrial scarring, a crucial step in the management of atrial fibrillation, the most common heart rhythm disorder. Atrial scarring can be challenging to detect, but AI-based approaches have shown promising results in improving its segmentation accuracy. Moreover, recent developments in smart imaging, such as fast MRI and general image quality transfer, can further enhance the capabilities of AI-based medical image analysis. For instance, the fast MRI can significantly reduce scan time, improving patient comfort and throughput, while general image quality transfer can help enhance the quality of low-quality images, making them suitable for analysis. Overall, the development of state-of-the-art AI-based medical image analysis approaches, such as those targeting the segmentation of atrial scarring, and the integration of smart imaging techniques, can facilitate the development of in silico clinical trials and personalized medicine. These approaches have the potential to transform healthcare, improving patient outcomes and making medical care more efficient and accessible.

Speaker's Biography:

Dr. Guang Yang is currently a UKRI Future Leaders Fellow (Round 5 Awardee) and Advanced Research Fellow working at National Heart and Lung Institute, Imperial College London and also affiliates with Cardiovascular Research Centre, Royal Brompton Hospital. He is also an Honorary Senior Lecturer with the School of Biomedical Engineering & Imaging Sciences, King's College London. He is a primary supervisor at the UKRI Centre for Doctoral Training in AI for Healthcare: AI4Health, KCL-Imperial EPSRC CDT in Smart Medical Imaging, and Imperial MRes Artificial Intelligence and Machine Learning programme.

He has worked for Siemens Medical Solutions and Medicsight PLC before and obtained comprehensive industrial experiences. He has two international patents in the fields of medical image processing. His research collaborators are from Cambridge University, Oxford University, St. George’s, University of London, University of Lincoln, City University London, and University College London in the UK, NIH and UCLA in the USA, Fudan University, Shanghai Jiao Tong University, Capital Medical University and Sun Yat-sen University in China.

Dr. Yang has finished his British Heart Foundation-funded project (Co-PI, PG/16/78/32402, 2017-2019) on the fast acquisition and quantitative analysis for the late gadolinium enhancement MRI images. He is now working on EU European Research Council funded H2020 CHAIMELEON project (PI of the workstream, H2020-SC1-FA-DTS-2019-1 952172, 2020-2023) and IMI DRAGON project (PI of the workstream, H2020-JTI-IMI2 101005122, 2020-2023).