Research Interests
•Large language model, risk prediction, skewed data statistics
Education Background
•PhD, Graduate School of Medical Electronics, National Taiwan University
•Department of Medicine, National Yang-Ming University
Current Position
•Assistant Professor, Department of Anesthesia, University of Iowa
Professional Experience
•Attending Anesthesiologist, Department of Anesthesiology, Far Eastern Memorial Hospital
•Assistant Professor, Department of Electrical Engineering, Yuan Ze University
This course aims to enhance anesthesiologists’ foundational understanding of artificial intelligence (AI)—from medical image annotation to large language models (LLMs)—and explore the practical applications of AI in healthcare. Participants will learn how to conceptualize and utilize digital tools to address real-world clinical problems. Through hands-on sessions, attendees will gain experience in designing, implementing, and evaluating AI-driven solutions.
Workshop Schedule:
13:20–14:20 Hands-on Practice: Implementing LLM + RAG
Instructor: Dr. Pei-Fu Chen Assistant: Dr. Tzu-Ping Kao
14:30–15:30 LLM Fine-Tuning: Building a Custom AI Assistant
Instructor: Engineer Teng-Chiong Shih Assistant: Engineer Li-Li Wang
15:40–16:40 Hybrid Model Applications
Instructor: Dr. Tzu-Ping Kao
Assistants: Dr. Jen-Ping Lee, Graduate Student Pei-Lun Sun
16:40–17:00 Q&A Session
