CardinalKit

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

[Ashley Griffin @griffinashleyc]

Essential EHR reforms for this decade https://t.co/M5EonwYMrg

[Vishnu Ravi, MD @vishnuravi]

Excited to be at the #DMEA2023 digital health conference in Berlin! Join us tomorrow morning at Main Stage B where we will share our work on translating the promise of digital health @Stanford @SUBiodesign! @DrAalami @PSchmiedmayer

[Oliver Aalami @DrAalami]

Next step may be to simply update/improve CPRS/Vista

[Varun Shenoy @varunshenoy_]

HealthGPT is built on top of CardinalKit (@ck_framework), an extensible framework from @SUBiodesign.

It makes it easy for developers (like me) to query HealthKit, upload data to Firebase, and set up an onboarding flow.

Check it out!

https://t.co/tT8iYT93Ck

[Vishnu Ravi, MD @vishnuravi]

It was a pleasure for our team to host Members of the German Parliament today at @Stanford @SUBiodesign to discuss synergies in our work in digital health! @DrAalami @PSchmiedmayer

[Oliver Aalami @DrAalami]

A lot of interesting “digitalization” and finding alternative care delivery models including more flexible “hospital-at-home” solutions

[Avi @AviSchiffmann]

Worried about skin cancer? 🌞

SkinGuardAI, developed during our "AI for Good" hackathon, uses computer vision to detect dangerous moles and aid in early detection!

Try it now: https://t.co/1HlztSDT5s

[CardinalKit @ck_framework]

Pretty amazing @DavidHindin. The gap is pretty narrow. Merge this with the @Tesla robot Optimus and that will get interesting!

[David Hindin, M.D. @DavidHindin]

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...

[Varun Shenoy @varunshenoy_]

A mini LLM-powered teleprompter for every part of your life 😎

[Vishnu Ravi, MD @vishnuravi]

It's my 2nd year teaching @Stanford @SUBiodesign CS342 and I'm still blown away by our students' creativity. They built functional digital health solutions for pediatric arrhythmia detection, therapy for eating disorders, remote assessment of contact allergies & more in 10 weeks!

[Vishnu Ravi, MD @vishnuravi]

The energy in the last few days of the term is always incredible. Really excited to show off what our students have been working on! 🚀

[Ashley Griffin @griffinashleyc]

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

[Oliver Aalami @DrAalami]

Explainability with machine learning models is key to trust and adoption. Looking forward to the talk!

[Vishnu Ravi, MD @vishnuravi]

Your mission is well on track! All of our student projects in @Stanford CS342 are FHIR-native this year 🔥

[Vishnu Ravi, MD @vishnuravi]

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!

[Bob Kocher @bobkocher]

Probably yes..

[Oliver Aalami @DrAalami]

Really impressed with the @ck_framework @SUBiodesign #CS342 Building for Digital Health progress on the 5 projects students are building! Final presentations next week!

After Prof. Carlos Guestrin’s talk on Trust and Machine Learning students had time to work on their projects.

[Mintu Turakhia, MD MS @leftbundle]

This is stunning AI work. The stable diffusion model reconstructed images presented to subjects based just from functional MRI output — and with high semantic fidelity. If this isn't mindreading, then I don't know what is.

[Vishnu Ravi, MD @vishnuravi]

Thank you @VNeilley for giving an awesome talk to our students in @Stanford @SUBiodesign CS342 today on healthcare interoperability and #FHIR!

[Stanford Biodesign @SUBiodesign]

A project initiated by @NimaAghaeepour in the Stanford Biodesign Faculty Fellowship is on the cover of @ScienceTM today. Learn how AI/ML algorithms can link maternal and child health at https://t.co/hxrsR3W3u2.