Larner College of Medicine

AI in Medicine Conference

AI in Medicine Conference

Dates and Location

April 10, 2026
Delta Hotel by Marriott in South Burlington, Vermont                                                                                     

In 2026 there's no avoiding the topic of Artificial Intelligence, from theory to practice, and how it applies to your clinical experience. Join the University of Vermont for this inaugural conference exploring the applications of AI in medicine. This event is appropriate for physicians, physician assistants, nursing, advanced practitioners, researchers, and other interested professionals.

Participant Registration Link

Exhibitor Registration Link

Pricing

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Participant Registration Fees:

Pricing Through March 15, 2026
Physician (MD,DO) - $295
Advanced Practice Professional (NP, PA), Pharmacist - $245
Nurse, Dietitian, Other Healthcare Professional, Resident, Student - $175

Pricing After March 15, 2026
Physician (MD,DO) - $345
Advanced Practice Professional (NP, PA), Pharmacist - $295
Nurse, Dietitian, Other Healthcare Professional, Resident, Student - $225

Lodging

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Delta Hotel by Marriott in South Burlington, Vermont

 

Agenda

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AI in Medicine
Friday, April 10, 2026

8:00 - 8:20 AM  Registration and Breakfast

8:20 - 8:30  Welcome
Jennifer Kelly, DO
Division Chief, Endocrinology and Diabetes
Professor of Medicine
University of Vermont

Part 1: Foundations

8:30 - 9:15  Neural Networks and Transformers 
Jason Bates, PhD
Professor of Medicine, Pulmonary Medicine
University of Vermont

9:15 - 10:00  Large Language Model (LLM) Topic
Nick Cheney, PhD
Associate Professor of Computer Science
Core faculty in Complex Systems and Data Science
University of Vermont

10:00 - 10:15  Break

Part 2: Applications

10:15 - 11:00  From Proof of Concept to Practice: Deploying AI in Real Clinical Environments
Matt Troup, PA-C
Clinical Strategy Principal
Abridge

11:00 - 11:45  Can AI (Help Us) Find Moments of Human Connection in Serious Illness?
Bob Gramling, MD, DSc
Professor & Vice Chair for Research
Department of Family Medicine
Head, Vermont Conversation Lab
University of Vermont

11:45 - 12:30 PM  Artificial Intelligence for Medical Image Interpretation
Peter Savadjiev, PhD
Assistant Professor, Department of Radiology
University of Vermont

12:30 - 1:45  Lunch, Networking and Exhibitors

Part 3: Ethics and Future

1:45 - 2:15  Identifying Clinical Practice Guideline Gaps Through Real-World Clinician Queries
Mondira Ray, MD, MBI
SVP, Clinical Informatics
OpenEvidence

2:15 - 3:00  AI and the Environment
Havaleh Gagné, MD
Radiation Oncology Biomedical and Clinical Informatics
University of Vermont Medical Center

3:00 - 3:15  Break

3:15 - 3:35  AI Intake and Evaluation at the State of Vermont
Miles Latham
Director of Artificial Intelligence
State of Vermont

3:40 - 4:35 Panel Discussion
Moderated by Justin Stinnett-Donnelly, MD
Chief Health Information Officer
University of Vermont Health

 

 

 

 


 

Accreditation

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Joint Accreditation Certification

In support of improving patient care, The Robert Larner, M.D. College of Medicine at the University of Vermont is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.

The University of Vermont designates this live activity for a maximum of 6.25 AMA PRA Category 1 CreditsTM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

This program has been reviewed and is acceptable for up to 6.25Nursing Contact Hours

The Robert Larner College of Medicine at the University of Vermont has been authorized by the American Academy of PAs (AAPA) to award AAPA Category 1 CME credit for activities planned in accordance with AAPA CME Criteria. This activity is designated for 6.25 AAPA Category 1 CME credits. PAs should only claim credit commensurate with the extent of their participation. 

This program was planned by and for the healthcare team, and learners will receive 6.25 Interprofessional Continuing Education (IPCE) credit for learning and change.

Meeting Disclaimer:  Regarding materials and information received during this educational event, the views, statements, and recommendations expressed during this activity represent those of the authors and speakers and do not necessarily represent the views of the University of Vermont.

Relevant Financial Relationships:* All those with control of content (speakers, planners, moderators, reviewers, staff) who have relevant financial relationships with “ineligible companies” are listed below. (An “ineligible company” is defined as one whose primary business is producing, marketing, selling, reselling or distributing healthcare products used by or on patients.) 

Nick Cheney, PhD – Biobe, Inc. – Co-founder 

Mondira Ray, MD – OpenEvidence – Full-time employee

The speakers above are experts sharing educational insights on safe AI use and are not endorsing any products or making clinical recommendations.

No other speakers, planners or CMIE reviewers have any relevant financial relationships with ineligible companies.

Support Received from Ineligible Companies:

We have not received any support from Ineligible Companies

*Having a financial relationship with an ineligible company, or discussing an unlabeled use of product, may not prevent a speaker from making a presentation. However, the existence of the relationship must be made known to the planning committee prior to the conference, so that any relevant financial interest may be mitigated prior to the talk.

Learners are advised that accredited status does not imply endorsement by the provider of any commercial products displayed in conjunction with an activity.