Research Interests
• Machine Learning, Deep Learning
Education Background
• PhD Candidate, Graduate Institute of Clinical Medicine, Kaohsiung Medical University
• MSc, Institute of Information Management, National Sun Yat-sen University
• MD, School of Medicine, Kaohsiung Medical University
Current Position
• Attending Physician, Department of Anesthesiology, Kaohsiung Medical University Hospital
• Researcher, Big Data Research Center, Kaohsiung Medical University
Professional Experience
• Chief Resident, Department of Anesthesiology, Chung-Ho Memorial Hospital, Kaohsiung Medical University
• Attending Physician, Department of Anesthesiology, Chung-Ho Memorial Hospital, Kaohsiung Medical University
• Member, Big Data Research Center, Kaohsiung Medical 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
