AI and the Future of Asian Health: Advancing Precision Medicine Through Human Insight and Technology

This talk launches a special Stanford CARE Community Health Talk series on AI in Asian Health, exploring how artificial intelligence is transforming medicine in ways that can better address the unique needs of Asian and Asian American populations.

In this kickoff session, Dr. Jonathan H. Chen will examine how human expertise and AI can work together to improve diagnosis, prevention, and treatment—particularly in tackling health disparities, cultural nuances, and underrepresentation in data that impact Asian communities. He will also emphasize the importance of preserving empathy and human understanding at the core of patient care. Drawing on his experience as both a physician and biomedical informatics scientist, Dr. Chen will share how AI is making healthcare more efficient, personalized, and data-driven.

Dr. Chen will also highlight his leadership in integrating AI into the Stanford School of Medicine curriculum, preparing future physicians to use these technologies responsibly and effectively. He will discuss how these advances are shaping precision health, especially for populations where differences in genetics, environment, and access to care require more tailored and inclusive approaches.

Upcoming sessions in this series will explore how AI can advance research and treatment for diseases that disproportionately affect Asian and Asian American populations, including gastric cancer, head and neck cancer, and other conditions where innovation is opening new possibilities for prevention and care.

Join us to discover how technology and human insight can come together to shape a more equitable and effective future for Asian health.

Speaker: 

Jonathan H. Chen, MD, PhD is a physician and biomedical informatics scientist at Stanford University and the Director of AI at Stanford CARE. He leads a research group that integrates human expertise with artificial intelligence to improve clinical decision-making and patient outcomes. His work bridges data science, medical education, and real-world care delivery to ensure that AI-driven innovation enhances—not replaces—the human touch in medicine.