This lunchtime lecture series blends innovation, expertise, and a relaxed atmosphere, offering an exploration of the latest applications and future advancements of artificial intelligence in digital medicine. While enjoying a delicious lunch, participants will gain cutting-edge insights into AI in medicine and engage in in-depth discussions with experts.
Speakers:
- Wen-Chieh Lin ( Professor, Department of Computer Science, National Yang Ming Chiao Tung University )
Applications of Visual Analytics and Large Language Models in Data Analysis
Facing increasingly large volumes of data, effectively organizing and understanding information has become a critical challenge. Visual analytics techniques transform complex data into graphical, interactive interfaces, enabling users to intuitively explore datasets and uncover hidden relationships. Natural language processing—particularly the recent advances brought by large language models—can analyze textual data and generate descriptive explanations, supporting interpretation and enriching the ways we communicate insights.
This talk introduces the use of visual analytics and natural language technologies in scenarios such as online learning, personalized data exploration, knowledge-graph navigation, autonomous-vehicle safety testing, and image editing. Through these examples, we demonstrate how visual analytics and large language models can help us perform data analysis and decision-making more flexibly and effectively.
We welcome all colleagues interested in AI and medical innovation to sign up and explore the limitless possibilities of smart medicine together!
【Lecture Information】
- Topic: Applications of Visual Analytics and Large Language Models in Data Analysis
- Date & Time: November 26, 2025 (Wed.) | 12:10-13:20
- Venue: Room IR630, 6th Floor, International Academic Research Building, Kaohsiung Medical University
- Registration Deadline: Until November 24, 2025 (Mon.) at 12:00 | Online registration required
- Registration Link: https://forms.gle/o6cNHV9KcoYxmA1LA
- Participation Mode: Hybrid (In-person: 60 participants; Online: Unlimited)
- Organizers: Biomedical Artificial Intelligence Academy of KMU, Medical AI Innovation and Application Center of KMUH, Teaching and Learning Development and Resource Center KMU
- Additional Info: Lunch will be provided for in-person attendees.
※ This lecture is eligible for KMU faculty growth credits. Participants must complete both sign-in/out and the satisfaction survey to receive credit points.
We look forward to your participation!
