Universal "AI for Health" Summit Virtual Workshop
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Universal "AI for Health" Summit Virtual Workshop

By AI CoLab MedStar-Georgetown Collaborative Center
Online event

Overview

Reimagining education - Empowering innovation. Join us online November 17-21 for the Universal "AI for Health" Summit Virtual Workshop

Join us online for the Universal "AI for Health" Summit, presented by MedStar Health-Georgetown University AI CoLab, and DAIMLAS. This dynamic online event explores the intersection of AI, health research, education, and innovation. Through interactive sessions, practical workshops, and visionary dialogue, participants will gain tools to lead and implement AI solutions that shape the future of healthcare.

Highlights include:


✔️ Post-conference hands-on workshop series - AI for Healthcare Professionals: Masterclass on Staying Ahead in the Age of AI


Location

Virtual: Zoom (link provided after registration)


About the Event

The Universal "AI for Health" Summit brings together educators, clinicians, researchers, technologists, and policy leaders for two impactful days focused on AI transformation in healthcare. Co-hosted by MedStar Health and Georgetown University with DAIMLAS, this convening builds upon prior momentum with a bold new vision: bridging institutional strategy, applied research, and practical workforce development.


Summit Agenda Highlights

  • AI & community health initiatives
  • Conversational AI and chatbot implementation
  • Predictive modeling and disease trajectory analysis
  • Institutional AI readiness and governance frameworks
  • Transparent and responsible AI deployment
  • Multimodal data and synthetic data in real-world settings


Date and Time

Virtual Workshop Series: November 17-21, 2025 | 6:00 PM – 8:30 PM ET Daily

Purchase one ticket and youll have admission to all 5 Day Workshops!

Category: Science & Tech, Medicine

Good to know

Highlights

  • 4 days 2 hours
  • Online

Refund Policy

Refunds up to 7 days before event

Location

Online event

Organized by

$106
Nov 17 · 3:00 PM PST