
CardinalKit
176 posts

CardinalKit
@ck_framework
An open-source iOS/Android native + GCP framework to rapidly deploy digital health applications! 🤖 made with ❤️ @Stanford @SUBiodesign








Great visit of the German Members of Parliament @isacademartori, @Lina_Seitzl, and Matthias David Mieves at @SUBiodesign today! We had great discussions about academia, policy, healthcare, digital health, and interoperability 🚀 @NathanielHaas @rutheappel @DrAalami #DigitalHealth



This morning, I ran some case scenarios for the @StanfordSurgery @OpNotes residents to help them prep for the oral boards. This afternoon, I tested GPT-4 AI on the same exact scenarios - word for word. The results were shocking. Buckle up...

Amazing final class presentations in our @SUBiodesign #CS342 Building Digital Health course. It was amazing to see what every team could achieve in only ten weeks using the new version of the #CardinalKit framework! @DrAalami @vishnuravi @griffinashleyc #FHIR #DigitalHealth

Excited for the Building for Digital Health final presentations this Thursday! In just 10 weeks students have learned how to develop #iOS mobile apps using #FHIR with CardinalKit @DrAalami @vishnuravi @PSchmiedmayer



Today in CS342, Professor Carlos Guestrin will join us to discuss trust in machine learning for digital health! Prof. Guestrin was previously the Senior Director of ML and AI at @Apple and co-founder of Turi, Inc. All students are welcome to attend!

On a mission to evangelize FHIR well enough that the next generation builds their billion dollar health idea on it



It's possible that this is the most important graph in the world.






I'm speechless. Not peer-reviewed yet but a submitted paper. The 'presented images' were shown to a group of humans. The 'reconstructed images' were the result of an fMRI output to Stable Diffusion. In other words, #stablediffusion literally read people's minds. Source 👇




