讲座时间：2026年03月27日（星期五）下午15:00
讲座地点：犀浦校区9号教学楼X9351
主 讲 人：付华柱 研究员
主讲人简介：
付华柱，现任新加坡科技研究局 (A*STAR) 高性能计算研究所 (IHPC) 主任研究员。主要研究方向为AI for Healthcare 以及 Trustworthy AI 等。至今已在 Nature/Cell 子刊，IEEE TPAMI 等期刊和会议上发表论文 300 余篇，Google Scholar 引用 4 万余次。入选 IET Fellow，科睿唯安（Clarivate）全球“高被引科学家”和斯坦福大学”世界前2%科学家”。同时多次获得国际奖项，包括 Best Paper Award at ICME 2021, Young Scientist Publication Impact Award at MICCAI 2025 (corresponding author), 和 IEEE JBHI Best Paper Award 等。现担任 IEEE Transactions on Medical Imaging (TMI), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 和 IEEE Journal of Biomedical and Health Informatics (JBHI) 等期刊编委。
内容简介：
Artificial intelligence (AI) has shown transformative potential in healthcare, particularly in medical imaging and clinical decision support. However, real-world deployment of AI systems remains hindered by two fundamental challenges: lack of trustworthiness and limited clinical usability. In this talk, I will discuss recent advances aimed at bridging these gaps. First, I will introduce methodologies for uncertainty quantification and out-of-distribution detection, enabling AI models to recognize when their predictions may be unreliable—a critical feature for patient safety. Second, I will present GlobeReady, a training-free AI platform designed for fundus disease diagnosis that operates robustly across diverse populations and clinical environments without the need for retraining or technical intervention. Together, these efforts demonstrate a pathway toward developing AI systems that are not only technically robust but also aligned with the needs and workflows of frontline healthcare professionals.
