Secretariat, Alumni Association, IDAC
Date	Monday, 29 September 2025, 13:00～14:00
Room	Institute of Development, Aging and Cancer, Center for Smart Aging Research.6F, Seminar Room
Title	Artificial Intelligence in Healthcare with Applications in Eye Diseases and Beyond
Speaker	Yalin, Zheng
Affiliation	University of Liverpool Faculty of Health and Life Sciences
Organizer	Yasuyuki Taki（Dept.of Aging Research and Geriatric Medicine, ext.8559） Toshimi Ogawa（SA Center, ext.8492）
Abstract	This talk presents cutting-edge AI applications in healthcare, showcasing innovative deep learning approaches for medical image analysis and diagnosis. The speaker demonstrates several breakthrough contributions including a graph neural network framework for retinal disease segmentation that achieves state-of-the-art performance in glaucoma detection, a multiple instance learning system for cancer classification in gigapixel histology images, and a longitudinal deep learning model for predicting age-related macular degeneration that incorporates temporal patient data over multiple years. The research extends to diabetic neuropathy diagnosis using confocal microscopy, ECG analysis from printed records, and novel approaches that bridge traditional mathematical models with modern neural networks. However, the presentation critically addresses the significant challenges facing AI in healthcare, citing systematic reviews that reveal most AI diagnostic research lacks clinical utility due to methodological flaws, biases, and poor generalizability across different populations. The speaker emphasizes the urgent need for responsible AI development that goes beyond academic exercises to include comprehensive lifecycle thinking, proper validation, bias mitigation, explainability for clinical acceptance, and adherence to regulatory standards, advocating for collaborative efforts between AI researchers, clinicians, and regulatory bodies to ensure safe and effective clinical implementation while maintaining ethical considerations and patient safety.