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
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
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
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
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...
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!
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!
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.
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.
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.