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20240918【医学视觉语言大模型:进展与展望】周洪宇:Learning to diagnose whispers of the human body
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报告嘉宾:周洪宇 (Harvard Medical School) 报告时间:2024年9月18日 (星期三)晚上21:00 (北京时间) 报告题目:Learning to diagnose whispers of the human body 报告人简介: Dr. Hong-Yu Zhou is a postdoctoral fellow at Harvard Medical School’s Department of Biomedical Informatics, where he focuses on integrating artificial intelligence with medicine and data science. His research explores scalable solutions for medical AI, emphasizing multimodal analytics and large-scale model design. Dr. Zhou completed his PhD at The University of Hong Kong, where he was advised by Prof. Yizhou Yu, and holds prior degrees from Nanjing University and Wuhan University. His work has been featured in top-tier conferences and journals, such as Nature Biomedical Engineering, Nature Machine Intelligence, TPAMI, ICLR, and MICCAI. He has also received several prestigious awards for his contributions to medical imaging and AI. 个人主页: https://zhouhy.org/ 报告摘要: In this talk, I will discuss my research on developing artificial intelligence systems for computational precision health, emphasizing multimodal learning and integration techniques that help interpret diverse patient data. This talk will cover three fundamental challenges: enhancing medical decision accuracy through learning multimodal representations, harnessing large-scale, high-quality, yet low-cost health insights, and developing generalist medical AI with specialized capabilities. I will also highlight the real-world impact of these innovations, showcasing improvements in the diagnostics and prognostics of lung diseases, breast cancer treatment response prediction, and increased efficiency in radiologists’ report writing. This presentation will explore the transformative potential of AI in improving medical decision making and its role in advancing personalized medicine.
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