2024年9月13日上午，悉尼大学工程学院Jinman Kim教授应邀做客转化医学STAR论坛，作题为“Multi-modal Learning for Biomedical Image Analysis and Visualization”的精彩报告。本次论坛由上海交通大学转化医学研究院毕磊副教授主持。来自上海交通大学转化医学研究院、医学院、电子信息与电气工程学院等单位的师生到场聆听。

报告中，Jinman Kim教授指出，医学影像在现代医疗中扮演着至关重要的角色，已成为一种临床中必不可少的诊断工具。现在的医学影像技术能够细致充分的展现人体各个系统及器官的解剖结构和功能代谢信息。然而，当前的挑战在于如何从海量的医学影像数据中提取出所需要的、有意义的信息，并将这些信息以直观的方式呈现给医护工作人员及普通民众。Jinman Kim教授强调，随着人工智能（AI）技术的发展，医疗影像分析中的智能决策支持工具正在不断进步，尤其是在多模态学习（Multi-modal Learning）方面，已经开始将图像与文本报告、基因组数据等不同模态的互补信息进行智能化自动化整合。Jinman Kim教授还在报告中分享了当前医学影像分析中AI发展的趋势，并介绍了其团队在多模态学习领域的最新研究，特别是在整合影像数据与其他不同模态数据进行疾病建模、分析和可视化方面的工作。

报告结束后，Jinman Kim教授与参会师生就AI在医学影像分析中的应用及未来发展方向进行了深入的讨论交流。

主讲人介绍

Jinman Kim is a Professor of Computer Science at the University of Sydney. He received his PhD from the University of Sydney in 2006 and was an Australian Research Council (ARC) Postdoctoral Research Fellow at the University of Sydney and then a Marie Curie Senior Research Fellow at the University of Geneva prior to joining the University of Sydney in 2013 as a faculty member. He is currently an ARC mid-career industry fellow, closely collaborating with his industry partner, Royal Prince Alfred Hospital, to conduct translational research. He co-leads the Faculty of Engineering’s Digital Health Imaging, which is a pillar of the Digital Science Initiatives (DSI), with the vision to combine the Faculty’s expertise in AI applied medical image analysis. He is also the Director of the Telehealth and Technology Center, Nepean hospital. Prof Kim’s research is on the application of machine learning to biomedical image analysis and visualization. His focus is on cross-model and multi-modal learning, which includes biomedical visual-language representations, image-omics, multi-modal data processing, and biomedical mixed reality technologies. He established and leads the Biomedical Data Analysis and Visualization (BDAV) Lab at the School of Computer Science. He has produced a number of publications in this field and received multiple competitive grants and scientific recognitions.