Distinguished Lecture Series: Nigam Shah, "Shaping the Responsible Adoption of AI in Healthcare"

As the use of artificial intelligence (AI) moves from being a curiosity to a necessity, it is clear that the benefit obtained from using AI models to prioritize care interventions is an interplay of the model’s performance, the capacity to intervene, and the benefit/harm profile of the intervention. This conversation will begin by reviewing the necessary data strategy to enable organization-wide AI adoption and leading into a discussion of the core intuition behind foundation models. After a brief review of the kinds of use-cases that AI can serve across multiple medical specialties, the event will discuss Stanford Healthcare’s efforts to shape the adoption of health AI tools to be useful, reliable and fair so that they lead to cost-effective solutions that meet health care's needs. The event will conclude with the rationale and vision for collaborative activities such as the Coalition for Health AI. The conversation will draw on examples from multiple specialities including Pathology, Cardiology, Internal Medicine, Surgery, Psychiatry and Oncology.

This lecture is open to the public. Registration is not required but space is limited.