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:

• Chih-Hung Cheng (Attending Physician, Division of Pulmonary, KMUH)

The lecture will share the design concepts of smart wards, the development of clinical decision dashboards, the application of artificial intelligence in critical care, and future development visions. It will introduce how connected devices and real-time data integration are used to achieve real-time patient information monitoring and clinical decision support.

The team has developed an AI-assisted system for interpreting endotracheal tube positioning and a prognostic prediction model for critically ill patients, aiming to improve patient safety and care efficiency.

In the future, efforts will continue toward AIoT integration, automated database construction, explainable AI, and electronic diagnostic decision-making, with the goal of creating a trustworthy and clinically valuable new model for smart critical care.

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: Sharing Experiences from the Smart ICU 
•  Date & Time: October 30, 2025 (Thu.) | 12:10-13:20
•  Venue: Room IR630, 6th Floor, International Academic Research Building, Kaohsiung Medical University
•  Registration Deadline: Until October 27, 2025 (Mon.) at 12:00 | Online registration required
•  Registration Link: https://forms.gle/1ARQGr3UdapCAksP7
•  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!