Artificial intelligence (AI) applications hold the key to reducing healthcare inequity, both locally and globally. While centralized architectures have been instrumental in advancing consumer AI, they are inadequate to deploy and train AI applications for children’s medicine. Amidst the pandemic-induced shutdown, a small team gathered to establish a new company with the mission of creating privacy-preserving, real-time applications based on data access from all 1,000,000 healthcare machines in the 500 children’s hospitals worldwide.
This session will give an overview of the Pediatric Moonshot mission, a new “rocket”, BevelCloud’s decentralized, in-the-building, edge cloud service, and its application to pediatric medicine. Our speaker, Timothy Chou, will discuss how AI applications are key to reducing healthcare inequity both locally and globally.
At the end of the talk, Raja Iqbal, our Chief Data Scientist, will lead a Q&A session with Tim.
Lecturer at Stanford University