“We don’t have even remotely enough data … to train an AI system to really have an impact. And we know we can ask the right questions, if only we had a way to connect ourselves to more data availability.”
Matthew Lungren, MD
The fundamental challenge to building equitable AI software is the lack of access to large and diverse datasets.
In this short webinar, Stanford University’s Tim Chou shares details of BevelCloud: a mission to connect all 1 million healthcare machines in all the children’s hospitals in the world to enable software and data to transform children’s healthcare.
And you can hear directly from Professor Chou at AIMed’s Global Summit, live and in-person in Laguna Beach, CA from 18-20 January 2022. Find more information here.