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:
- Chin Lin (Associate Professor, School of Medicine, National Defense Medical University)
The AI models developed by the team for electronic medical records have been integrated into the hospital information system (HIS), enabling real-time high-risk alerts and clinical interventions through SMS notifications and internal hospital systems. These applications cover more than 50 phenotypes, including hyperkalemia detection, sudden cardiac death risk, rapid STEMI identification, reduced ejection fraction, atrial fibrillation, and others. Multiple models have completed or are currently undergoing multicenter randomized controlled trials (RCTs) to validate their impact on improving clinical outcomes.
The team has also extended AI-ECG and AI-CXR applications to community and rural settings and launched home-care programs that integrate wearable ECG monitoring for patients with end-stage renal disease and heart failure. In addition, AI-CXR has been applied in the OPSCAN program for osteoporosis screening, successfully identifying large numbers of high-risk individuals for dual-energy X-ray absorptiometry (DXA) examinations.
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: The development of clinical AI cycle-from signal discovery to pragmatic trials and real-world deployment
- Date & Time: January 29, 2026 (Thu.) | 12:10-13:20
- Venue: Room IR630, 6th Floor, International Academic Research Building, Kaohsiung Medical University
- Registration Deadline: Until January 27, 2026 (Tue.) at 12:00 | Online registration required
- Registration Link: https://forms.gle/nuiE45b5h4LoBtAh6
- Participation Mode: Hybrid (In-person: 60 participants; Online: Unlimited)
- Organizers: Biomedical Artificial Intelligence Academy of KMU, Medical AI Innovation and Application Center of KMUH
- 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!
