An open-source iOS/Android native + GCP framework to rapidly deploy digital health applications! š¤ made with ā¤ļø @Stanford @SUBiodesign
Stanford
Joined August 2020
- Tweets175
- Following154
- Followers210
- Likes275
CardinalKit retweeted
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 ā at Berlin, Germany
CardinalKit retweeted
Next step may be to simply update/improve CPRS/Vista
in the world's least surprising news
fiercehealthcare.com/health-ā¦
CardinalKit retweeted
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!
github.com/StanfordBDHG/Cardā¦
CardinalKit retweeted
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
CardinalKit retweeted
A lot of interesting ādigitalizationā and finding alternative care delivery models including more flexible āhospital-at-homeā solutions
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CardinalKit retweeted
Worried about skin cancer? š
SkinGuardAI, developed during our "AI for Good" hackathon, uses computer vision to detect dangerous moles and aid in early detection!
Try it now: skinguardai.com ā at San Francisco, CA
Pretty amazing @DavidHindin. The gap is pretty narrow. Merge this with the @Tesla robot Optimus and that will get interesting!
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...
CardinalKit retweeted
A mini LLM-powered teleprompter for every part of your life š
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CardinalKit retweeted
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!
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CardinalKit retweeted
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! š
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
CardinalKit retweeted
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
CardinalKit retweeted
Explainability with machine learning models is key to trust and adoption. Looking forward to the talk!
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!
CardinalKit retweeted
Your mission is well on track! All of our student projects in @Stanford CS342 are FHIR-native this year š„
CardinalKit retweeted
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!
CardinalKit retweeted
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 Guestrinās talk on Trust and Machine Learning students had time to work on their projects.
CardinalKit retweeted
This is stunning AI work. The stable diffusion model reconstructed images presented to subjects based just from functional MRI output āĀ and with high semantic fidelity. If this isn't mindreading, then I don't know what is.
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 š
CardinalKit retweeted
Thank you @VNeilley for giving an awesome talk to our students in @Stanford @SUBiodesign CS342 today on healthcare interoperability and #FHIR!
CardinalKit retweeted
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 science.org/doi/10.1126/scitā¦.
