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Join us for two premier events on innovation in healthcare AI and data science:
🔹 Health AI Summit (HAI)
🔹 AI Spring Research Workshop (DSI)
These summits bring together experts, researchers, and industry leaders to explore groundbreaking advancements. The program features insightful talks, expert-led sessions, and interactive discussions, fostering collaboration and knowledge exchange. Stay tuned for the full agenda and event updates.
HEALTHCARE AI SUMMIT PROGRAM
DAY 1
June 10, 2025
Check-in & Breakfast
8:30 AM - 9:00 AM
- Atrium
Meet fellow attendees over breakfast and connect with AI innovators, healthcare leaders, and policymakers.
Welcome
9:00 AM – 9:20 AM
- Auditorium
Keynote 1
9:20 AM – 10:05 AM
- Auditorium
The Future of AI in Healthcare – From Innovation to Implementation
Coffee Break
10:05 AM – 10:20 AM
- Atrium
Panel: Early Stage Companies in the Health AI Space
10:20 AM – 11:30 AM
- Atrium
Reducing Clinician Cognitive Burden
- How AI improves diagnostic accuracy and reduces variability in clinical decisions
- Case studies: AI in radiology, pathology, and predictive analytics
- Integrating AI into clinical workflows with minimal disruption
- Addressing clinician resistance and fostering trust in AI systems
- Gen AI use cases driving clinician efficiency and productivity
Panel: Emerging AI Technologies in Healthcare Context
11:30 AM – 12:40 PM
- Auditorium
Reducing Clinician Cognitive Burden
- How AI improves diagnostic accuracy and reduces variability in clinical decisions
- Case studies: AI in radiology, pathology, and predictive analytics
- Integrating AI into clinical workflows with minimal disruption
- Addressing clinician resistance and fostering trust in AI systems
- Gen AI use cases driving clinician efficiency and productivity
James Southwick
MD, MedTech, Greater MSP Partnership
Rick Kuntz
M.D, Ex-Chief Medical and Scientific Officer, Medtronic
Reducing Clinician Cognitive Burden
- How AI improves diagnostic accuracy and reduces variability in clinical decisions
- Case studies: AI in radiology, pathology, and predictive analytics
- Integrating AI into clinical workflows with minimal disruption
- Addressing clinician resistance and fostering trust in AI systems
- Gen AI use cases driving clinician efficiency and productivity
Lunch
12:40 PM – 1:55 PM
- Atrium & Forum
Keynote 2
1:55 PM – 2:40 PM
- Auditorium
Ethics & Policy Expert
Ethical & Responsible AI in Healthcare: Navigating Bias, Transparency & Trust
Break
2:40 PM – 2:55 PM
- Atrium
Panel: AI for Clinical Decision
2:55 PM – 4:05 PM
- Auditorium
Jack C. O' Horo
MD, MPH, Physician Chair, System Oversight Committee, Mayo Clinic
Reducing Clinician Cognitive Burden
- How AI improves diagnostic accuracy and reduces variability in clinical decisions
- Case studies: AI in radiology, pathology, and predictive analytics
- Integrating AI into clinical workflows with minimal disruption
- Addressing clinician resistance and fostering trust in AI systems
- Gen AI use cases driving clinician efficiency and productivity
Genevieve Melton
MD, PhD, Chief Analytics & Care Innovation Officer, Fairview Health Services
Karyn Baum
MD, MSEd, MHA, FHM, Adjunct Professor of Medicine and Public Health, University of Minnesota
Reducing Clinician Cognitive Burden
- How AI improves diagnostic accuracy and reduces variability in clinical decisions
- Case studies: AI in radiology, pathology, and predictive analytics
- Integrating AI into clinical workflows with minimal disruption
- Addressing clinician resistance and fostering trust in AI systems
- Gen AI use cases driving clinician efficiency and productivity
Coffee Break
4:05 PM – 4:20 PM
- Atrium
Keynote 3
4:20 PM – 5:05 PM
- Auditorium
The Future of AI in Healthcare – From Innovation to Implementation
Dinner Reception & Networking
5:30 PM – 7:00 PM
- Atrium & Forum
Join us for refreshments and more networking opportunities.
DAY 2
June 11, 2025
Check-in & Breakfast
8:30 AM - 9:00 AM
- Atrium
Meet fellow attendees over breakfast and connect with AI innovators, healthcare leaders, and policymakers.
Welcome
9:00 AM – 9:10 AM
- Auditorium
The Future of AI in Healthcare – From Innovation to Implementation
Keynote 1
9:10 AM – 9:55 AM
- Auditorium
Steve Posnack
Acting Assistant Secretary, ASTP, HHS
The Future of AI in Healthcare – From Innovation to Implementation
Coffee Break
9:55 AM – 10:10 AM
- Atrium
Panel: Bipartisan Health AI Policy
10:10 AM – 11:20 AM
- Auditorium
Katie Adams
Senior AI Policy Analysis, Bipartisan Policy Center (BPC)
Reducing Clinician Cognitive Burden
- How AI improves diagnostic accuracy and reduces variability in clinical decisions
- Case studies: AI in radiology, pathology, and predictive analytics
- Integrating AI into clinical workflows with minimal disruption
- Addressing clinician resistance and fostering trust in AI systems
- Gen AI use cases driving clinician efficiency and productivity
Jim Nash
Minnesota House of Representatives
Tarek Tomes
Commissioner and Chief Information Officer, State of Minnesota, Minnesota IT Services
Reducing Clinician Cognitive Burden
- How AI improves diagnostic accuracy and reduces variability in clinical decisions
- Case studies: AI in radiology, pathology, and predictive analytics
- Integrating AI into clinical workflows with minimal disruption
- Addressing clinician resistance and fostering trust in AI systems
- Gen AI use cases driving clinician efficiency and productivity
Panel: Operational Efficiency & Resource Optimization
11:20 AM – 12:30 PM
- Auditorium
Emily Blomberg
President, Regions Hospital & Regions Foundation
Reducing Clinician Cognitive Burden
- How AI improves diagnostic accuracy and reduces variability in clinical decisions
- Case studies: AI in radiology, pathology, and predictive analytics
- Integrating AI into clinical workflows with minimal disruption
- Addressing clinician resistance and fostering trust in AI systems
- Gen AI use cases driving clinician efficiency and productivity
Reducing Clinician Cognitive Burden
- How AI improves diagnostic accuracy and reduces variability in clinical decisions
- Case studies: AI in radiology, pathology, and predictive analytics
- Integrating AI into clinical workflows with minimal disruption
- Addressing clinician resistance and fostering trust in AI systems
- Gen AI use cases driving clinician efficiency and productivity
Closing Remarks & Next Steps
12:30 PM – 12:40 PM
- Auditorium
Thank you for attending! Final thoughts and action items.
Networking Lunch
12:40 PM – 2:40 PM
- Atrium & Forum
Join us for refreshments and more networking opportunities.
