Director of the AI Medical Technology Center
KIM, KYUNG WON
- CAMPUS Seoul Campus
- DEPARTMENT Department of Pediatrics, Yonsei University College of Medicine
- E-MAIL kwkim@yuhs.ac
- TEL 02-2228-2050
- OFFICE
Contact
hooneeda@yuhs.ac
Thank you for visiting the homepage of the AI Medical Technology Center.
The AI Medical Technology Center pioneers trustworthy AI to empower both patients and healthcare systems. Our mission goes beyond integrating technology—we strive to reimagine healthcare through innovations that are safe, ethical, and deeply human-centered.
In an era of rapid transformation, AI is not just a supportive tool but a catalyst for precision, personalization, and global collaboration. By uniting expertise from medicine, engineering, and data science, we aim to create solutions that redefine clinical care, accelerate discovery, and strengthen trust between people and technology.
We remain committed to driving breakthroughs that preserve the core values of medicine while shaping a bold new future in medical AI. Together with partners worldwide, we will open pathways to smarter, more compassionate, and sustainable healthcare innovation.
Missions and Vision
Mission
With integrity and wisdom, harness AI to serve humanity through compassionate and transformative healthcare
Vision
A Global Leader in Trusted, Human-Centered Medical AI Research
Core Value
-
Innovation
-
Responsibility
-
Collaboration
-
Humanity
Research Areas
-
01
Data-Driven Medical AI
- Develop and deploy foundation models tailored for medical data analysis.
- Build integrated medical AI platforms and clinical data repositories.
- Advance AI-powered decision support in clinical care, including medical imaging and data analytics.
-
02
Collaborative Research & Global Engagement
- Facilitate cross-disciplinary and inter-college collaborations in medical AI.
- Host domestic and international conferences, workshops, and forums to foster knowledge exchange and innovation.
-
03
Reliable AI Adoption Framework
- Establish multi-stage evaluation and validation systems for safe adoption of AI in healthcare.
- Design AI-integrated education and training programs to support clinicians and empower patient care.
-
04
Medical AI Ethics & Governance
- Formulate legal, ethical, and regulatory frameworks for responsible AI development.
- Lead research on governance and sustainable adoption to ensure trustworthy medical AI.