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-Place holder page for gathering foundation model work around CLMBR, MOTOR, LUMIA and other models and contextualizing the blogs at HAI such as [[https://hai.stanford.edu/news/how-foundation-models-can-advance-ai-healthcare|How Foundation Models Can Advance AI in Healthcare]]
+We believe that this new class of models -- called foundation models -- may lead to more affordable, easily adaptable health AI.
+In a blog post at [[https://hai.stanford.edu/news/how-foundation-models-can-advance-ai-healthcare | HAI]] we discuss the opportunities foundation models offer in terms of a better paradigm of doing “AI in healthcare.” First, we outline what foundation models are and their relevance to healthcare. Then we highlight what we believe are key opportunities provided by the next generation of medical foundation models, specifically:
+  * AI Adaptability with Fewer Manually Labeled Examples
+  * Modular, Reusable, and Robust AI
+  * Making Multimodality the New Normal
+  * New Interfaces for Human-AI Collaboration
+  * Easing the Cost of Developing, Deploying, and Maintaining AI in Hospitals
+See the full post at [[https://hai.stanford.edu/news/how-foundation-models-can-advance-ai-healthcare|How Foundation Models Can Advance AI in Healthcare]].

Shah Lab