Stanford Health Policy Seminar: Jonathan Chen
Stanford Health Policy Seminar: Jonathan Chen
Friday, February 28, 202512:00 PM - 1:00 PM (Pacific)
After registering, you will receive a confirmation email. For Zoom participants, the link will be in the confirmation email.
Registration
Hybrid Seminar: Lunch will be provided for on-campus participants.
Please register if you plan to attend, both for in-person and via Zoom.
Log in on your computer, or join us in person:
Encina Commons, Room 119
615 Crothers Way
Stanford, CA 94305

Talk Title: Artificial Intelligence in Medicine - Real Magic or Technological Illusions?
Jonathan H. Chen MD, PhD leads a clinical informatics research group to empower individuals with the collective experience of the many, combining human and artificial intelligence to deliver better care than either. Dr. Chen founded a company to translate his Computer Science graduate work into an AI system used by students around the world. His expertise is featured in the popular press with over 100 research publications and awards. Dr. Chen continues to practice medicine for the reward of caring for real people and to inspire his research to discover and distribute the latent knowledge embedded in clinical data.
Artificial Intelligence in Medicine - Real Magic or Technological Illusions?
Pandora’s box has opened in the form of publicly available generative AI systems for every imaginable (and many unintended) purposes. With a global scarcity of medical expertise against the unlimited demand of people in need, AI's potential to democratize healthcare knowledge, access, and to recover efficiencies is desperately needed. The opportunities and pitfalls will be reviewed in the context of specific projects around user-studies of physician+AI decision making, integration of chart summarization workflows, and personalized clinical decision support through data-driven prediction and recommender algorithms. The implications are vast as we converge upon a point in history where human vs. computer generated content can no longer be reliably distinguished. This session will review the attention and intention required for AI applications in the high-stakes world of healthcare as we distinguish real magic from convincing illusions.