The big ideas from Stanford Health AI week

Source Domain: med.stanford.edu

“AI” and “Labubu” aren’t often uttered in the same breath. But on the first day of Stanford Health AI week, Laurah Turner, PhD, keynote speaker at the AI in Medical Education symposium, showed a slide with a giant-eyed, sharp-toothed cuddly menace — the wildly popular stuffed toy her daughter coveted.

Turner, an assistant professor of medical education at the University of Cincinnati, told the audience that, while she was on a run, the voice of her 9-year-old interrupted her playlist with a persuasive pitch for a new Labubu.

Turner recounted how her daughter duped a custom homework chatbot built to help her with math problems to, instead, help her build a case for a new toy. Guided by artificial intelligence, Turner’s daughter figured out how to record and deliver a 10-minute dissertation on exactly why the fuzzy companion would behoove her.

“How in the heck did this happen?” Turner asked during her talk. “My 9-year-old daughter literally took AI and used it to teach herself audio editing, cloud file storage [and] persuasive argumentation…all because she wanted a Labubu.”

Though not rooted in health care, the story was an analog for a crucial theme that persisted throughout the week: AI is a tool of empowerment, and it’s arming everyone — from kids to doctors to patients — with new skills and knowledge in unexpected and unprecedented ways.

Speakers at the weeklong event, which comprised eight symposia, discussed the need for patient collaboration in developing AI tools, how trust in AI can be built with both doctor and patient communities and how AI is accelerating discoveries that impact disease diagnosis and treatment, among many other topics.

Below are the top takeaways from the week’s events: the AI for Mental Health Symposium, the AI in Medical Education Symposium, the Responsible AI for Safe and Equitable (RAISE)…

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