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Autonomous Healthcare Hackathon | xAI Cursor Vercel | Legion Health x Atlas

lumaHosted on Luma

Fetched about 5 hours ago

Saturday, June 13, 2026

to Sunday, June 14, 2026

•

11 hours long

Artificial Intelligence

Event Type

in person

169

Participants

15

Est. Projects

The future of care is autonomous. 🏥 There is no more critical frontier for applied AI than healthcare. Patients will use AI to direct every part of their own health, and will increasingly receive care directly from AI. This hackathon aims to push the envelope of what is possible — with patient agency at the center. 📌 About Event Legion Health and The Atlas Network are bringing together a small, high-signal group of builders in San Francisco for a one-day Health AI hackathon focused on one core theme: patient agency. 🏆 Sponsors: xAIVercelCursorInngest 💸 40k+ in incredible prizes Who: This is for engineers who want to ship something real.Where: San Francisco, IRL (details provided upon acceptance)When: 1 day.Hosts: Legion Health x Atlas AI 🧠 Theme Patient agency in healthcare What that can mean: navigating the healthcare systemowning and transporting your own health dataavoiding insurance surprises and finding the best pricesaugmenting and fact-checking providersreceiving more personalized care based on your own data, genetics, or biometrics Judges and mentors We’ll have judges and mentors from top AI labs, healthcare AI companies, and the broader Legion network. More names to be announced soon. 📅 Schedule (tentative) 8:30 AM doors open9:00 AM kickoff12:00 PM lunch6:00 PM demos7:30 PM awards and closing

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct