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1st Annual Physician AI Hackathon, by SoPE

lumaHosted on Luma

Fetched about 5 hours ago

Saturday, May 30, 2026

to Saturday, May 30, 2026

Artificial Intelligence

Event Type

in person

The San Diego chapter of the Society of Physician Entrepreneurs (SoPE) is launching its first annual AI Hackathon as the chapter’s flagship “comeback” event. The half‐day, in‐person gathering will bring clinicians, engineers, and students together to turn clinical ideas into working prototypes in under two hours, showcasing the practical power of modern AI tooling in healthcare. NOTE: this event is in-person only. Agenda☕️ 8AM – Welcome, network, form teams🎬 845AM – Keynotes: Bedirhan Keskin, MD, Gold Winner; Michał Nedoszytko MD, PhD, 3rd Place, Anthropic Claude Code Hackathons 🛠️ 9AM – Hackathon "Idea to App" in two hours 💡 11AM – Presentations 🏆 11:45AM – Winners announced About SoPE The Society of Physician Entrepreneurs (SoPE) at https://www.sopenet.org  is a non-profit, global, international, open biomedical and clinical innovation and entrepreneurship ecosystem offering education and access to resources, networks, mentors, experience, peer support, and non-clinical career guidance. Our mission is to help members help other members get their ideas to patients.

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