{1}
##LOC[OK]##
{1}
##LOC[OK]## ##LOC[Cancel]##
{1}
##LOC[OK]## ##LOC[Cancel]##
Stanford CME | Stanford Medicine
Stanford Center for Continuing Medical Education
  • Sign In
  • Create New Account
  • Home
  • Live Activities
  • On-Demand
  • Hybrid
  • Podcast
  • RSS
  • Journals
  • Other
  • Activity Calendar
  • Help
Close Login
{1}
##LOC[OK]##
{1}
##LOC[OK]## ##LOC[Cancel]##
{1}
##LOC[OK]## ##LOC[Cancel]##
Sign in with your Stanford ID
Sign in with your email and password | Create new account
Enter your email and password to login:

*
*
Login

New to CloudCME? Create an Account:

Create New Account
Forgot Your Password?

Forgot Your Password?







Back to Login
{1}
##LOC[OK]##
{1}
##LOC[OK]## ##LOC[Cancel]##
{1}
##LOC[OK]## ##LOC[Cancel]##
Email is required Invalid: Enter valid email address
First Name is required
Last Name is required
Password is required


Password Requirements

  • Must be between 8 and 16 characters in length
  • Must Contain at least 1 upper case character
  • Must Contain at least 1 lower case character
  • Must contain at least 1 numeric character
  • Must contain at least 1 of the following ! * @ # $ % ^ & + =
Confirm password

Passwords must match
Password must be between 8 and 16 characters and contain the following:
•at least 1 upper case character
•at least 1 lower case character
•at least 1 numerical character
•at least 1 special character

  • -- Select Degree --
  • ADN
  • APRN
  • ASN
  • ASW
  • AT
  • ATC
  • AUD
  • BA
  • BDent
  • BDS
  • BDSc
  • BM BCh
  • BM BS
  • BM ChB
  • BP
  • Bpharm
  • BS
  • BScPH
  • BSN
  • BSPh
  • BSPT
  • BSRT
  • BSW
  • CCP
  • CCT
  • CFRS
  • Chaplain
  • CNL
  • CNM
  • CNM
  • CNS
  • CPhT
  • CRNA
  • CRNP
  • CTR
  • CVT
  • DC
  • DClinDent
  • DDent
  • DDS
  • DDSc
  • DMD
  • DMSc
  • DNE
  • DNP
  • DNSc
  • DO
  • DP
  • DPM
  • DPT
  • DPTSc
  • DrPH
  • DScD
  • DScPT
  • DSW
  • DVM
  • EdD
  • EMT
  • EMT-P
  • FCPS
  • FRCPS
  • JD
  • L.Ac
  • LCPC
  • LCSW
  • LICSW
  • LMFT
  • LMHC
  • LMSW
  • LNM
  • LPC
  • LPCC
  • LPN
  • LRCPE
  • LRCPSG
  • LRCSE
  • LVN
  • MA
  • MB BCH
  • MB Bchir
  • MB BS
  • MB ChB
  • MBA
  • MBBS
  • MCS
  • MD
  • MD, JD
  • MD, MBA
  • MD, MHA
  • MD, MPH
  • MD, MPH, PhD
  • MD, MS
  • MD, MSCE
  • MD, PhD
  • MDCM
  • MDent
  • MDentSci
  • MDS
  • MFA
  • MFT
  • MHPE
  • MLIS
  • Mmed
  • MMilMed
  • MMSc
  • MP
  • MPH
  • Mpharm
  • MPT
  • MS
  • MSc
  • MSc, PhD
  • MScPH
  • MScPharm
  • MSD
  • MSM
  • MSN
  • MSN, FNP-BC
  • MSN, PhD
  • MSPH
  • MSPharm
  • MSPT
  • MSSA
  • MSW
  • ND
  • None
  • NP
  • OD
  • OT
  • Other
  • OTR
  • PA
  • PA-C
  • PD
  • Pharm
  • PharmD
  • PharmDc
  • PhD
  • PsyD
  • PT
  • PT, PhD
  • PTA
  • RCES
  • RCP
  • RD
  • RDA
  • RN
  • RN, BSN
  • RPh
  • RRT
  • RT
  • RTT
  • ScDPT
  • SLP
  • SMF
  • VMD
Degree is required
Please enter your degree:
You must enter a degree

Profession is required




Back to Login
Close Search Site Search: Enter your search terms in the field below to view results.

please enter a term to search
Close Specialties
{1}
##LOC[OK]##
{1}
##LOC[OK]## ##LOC[Cancel]##
{1}
##LOC[OK]## ##LOC[Cancel]##

Stanford AIMI Symposium 2026


Stanford AIMI Symposium 2026 Banner

  • Overview
  • Faculty
  • Register
  • Agenda
  • Exhibitors
Add to Calendar Stanford AIMI Symposium 2026 6/3/2026 8:00:00 AM 6/3/2026 5:00:00 PM America/Los_Angeles For More Details: https://stanford.cloud-cme.com/aimi2026 Description: The AIMI Symposium is the Stanford AIMI Center’s flagship annual meeting, bringing together researchers, clinicians, trainees, and industry leaders to explore the latest advances in artificial intelligence for health and medicine. The program highlights cutting-edge developments in multimodal AI, clinical foundation models, predictive analytics, and decision support tools, emphasizing their potential to transform patient ... Li Ka Shing Center for Learning and Knowledge (LKSC) false MM/DD/YYYY


Date & Location
Wednesday, June 3, 2026, 8:00 AM - 5:00 PM, Li Ka Shing Center for Learning and Knowledge (LKSC), Palo Alto, CA

Overview

The AIMI Symposium is the Stanford AIMI Center’s flagship annual meeting, bringing together researchers, clinicians, trainees, and industry leaders to explore the latest advances in artificial intelligence for health and medicine. The program highlights cutting-edge developments in multimodal AI, clinical foundation models, predictive analytics, and decision support tools, emphasizing their potential to transform patient care and healthcare delivery. Through a combination of plenary talks, panel discussions, and interactive sessions, the Symposium examines emerging trends and practical applications of AI in medicine.

Topics include validation of AI models, governance frameworks, responsible deployment, clinical integration, commercialization pathways, startup innovation, and investment strategies. Participants gain insight into both the technical and translational aspects of AI, learning how these tools can be responsibly implemented to improve outcomes across diverse clinical settings.

The Symposium also fosters cross-disciplinary dialogue, connecting stakeholders from academia, industry, and clinical practice to address challenges and opportunities in the evolving AI landscape. By highlighting both scientific innovation and real-world impact, the AIMI Symposium equips attendees with actionable knowledge to advance AI-driven healthcare initiatives in their own organizations.


Registration

For more information and to register, please visit: https://aimi.stanford.edu/aimi26

Access to the June 3 symposium, including networking opportunities, access to recordings, and on-site meals.

Early Bird - Until April 30, 2026
In-Person
Academic: $350
Industry: $750
Trainee: $75

Virtual Only
Academic: $50
Industry: $100
Trainee: $0

Regular Rates - From May 1, 2026
In-Person
Academic: $450
Industry: $850
Trainee: $100

Virtual Only
Academic: $100
Industry: $200
Trainee: $25


Credits
AMA PRA Category 1 Credits™ (6.00 hours), Non-Physician Participation Credit (6.00 hours)

Target Audience
Specialties - Medicine
Professions - Fellow/Resident, Non-Physician, Physician, Student

Objectives
At the conclusion of this activity, learners should be able to:

  1. Describe emerging AI technologies in health and medicine, including multimodal AI, clinical foundation models, predictive analytics, and decision support systems.
  2. Evaluate and interpret AI models, including considerations for validation, governance, and ethical deployment in clinical settings.
  3. Apply practical strategies to integrate AI tools into clinical workflows and research projects effectively.
  4. Identify translational pathways, commercialization considerations, and innovation opportunities for AI-driven healthcare solutions.
  5. Assess how AI implementation can influence clinical decision-making, care delivery, and patient outcomes in diverse healthcare settings.

Accreditation

In support of improving patient care, Stanford Medicine 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. 
 
Credit Designation 
American Medical Association (AMA) 
Stanford Medicine designates this Live Activity for a maximum of 6.00 AMA PRA Category 1 CreditsTM.  Physicians should claim only the credit commensurate with the extent of their participation in the activity. 


Additional Information

Cancellation Policy
All registration fees are non-refundable. Registrations may be transferred to another individual if you are unable to attend.

Stanford University School of Medicine reserves the right to cancel or postpone this program if necessary; in the event of cancellation, course fees will be fully refunded. We are not responsible for other costs, such as non-refundable airline tickets or hotel penalties.

Accessibility Statement
 Stanford University School of Medicine is committed to ensuring that its programs, services, goods and facilities are accessible to individuals with disabilities as specified under Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Amendments Act of 2008.  If you have needs that require visual, auditory, cognitive, or mobility accommodations, including dietary concerns, please contact the CME office.

Cultural and Linguistic Competency
The planners and speakers of this CME activity have been encouraged to address cultural issues relevant to their topic area for the purpose of complying with California Assembly Bill 1195. Moreover, the Stanford University School of Medicine Multicultural Health Portal contains many useful cultural and linguistic competency tools including culture guides, language access information and pertinent state and federal laws.  You are encouraged to visit the Multicultural Health Portal: https://laneguides.stanford.edu/multicultural-health

For activity related questions, please contact
     Name: Laura Corbett, CHCP
     Title: Compliance Manager
     Email: [email protected]

For CME general questions, please contact 
 
   Email: [email protected]

Mitigation of Relevant Financial Relationships

Stanford Medicine adheres to the Standards for Integrity and Independence in Accredited Continuing Education.

Disclosure of faculty and their commercial relationships will be made prior to the activity.

Member Information
Role in activity
Nature of Relationship(s) / Name of Ineligible Company(s)
Curtis P Langlotz, MD, PhD
Professor of Radiology, Medicine, and Biomedical Data Science
Stanford University
Us
Course Director, Faculty
Ownership-Bunkerhill Health|Ownership-Harrison.ai|Consulting Fee-Philips Medical Systems, Inc. (Relationship has ended)|Ownership-Galileo CDS|Ownership-Adra.ai|Ownership-Nines (Relationship has ended)|Ownership-Sirona Medical|Ownership-whiterabbit.ai|Consulting Fee-McKinsey|Ownership-TurboRadiology|Grant or research support-GE Healthcare|Membership on Advisory Committees or Review Panels, Board Membership, etc.-Sirona Medical|Grant or research support-Philips Medical Systems, Inc.|Grant or research support-Siemens AG|Grant or research support-Carestream|Grant or research support-Google Cloud|Grant or research support-IBM|Grant or research support-IDEXX (Relationship has ended)|Grant or research support-Lunit (Relationship has ended)|Grant or research support-Lambda|Grant or research support-Microsoft|Grant or research support-Subtle Medical|Advisor-Sixth Street (Relationship has ended)|Grant or research support-Visiana (Relationship has ended)|Grant or research support-Amazon Web Services|Membership on Advisory Committees or Review Panels, Board Membership, etc.-Bunker Hill Health
Nerissa Ambers, Other
Stanford Health Care
Faculty
Nothing to disclose
Louis Blankemeier, MS
Faculty
Alex Cadotte, PhD
VP, Regulatory Affairs, Head of Digital Health, AI, and Radiology
MCRA, an IQVIA Business
Faculty
Nothing to disclose
Heather Chait, DPM
AI Ecosystem Lead
Philips
Faculty
Nothing to disclose
Cameron Chen
Research and Eng Lead, HealthAI
Google
Faculty
Nothing to disclose
Hui Cheng, BA
Principal
New Enterprise Associates
Faculty
Nothing to disclose
Yejin Choi, Other
Dieter Schwarz Foundation Professor
Department of Computer Science at Stanford University
Faculty
Nothing to disclose
Heidi Collins, Other
VP, Chief Application Officer
Stanford Healthcare
Faculty
Faculty Photos
Roxana Daneshjou, MD
Assistant Professor of Biomedical Data Science and of Dermatology
Stanford
Faculty
Consulting Fee-Pfizer, Inc. (Relationship has ended)|Grant or research support-Apple|Consulting Fee-DWA (Relationship has ended)|Grant or research support-UCB|Advisor-MDAlgorithms|Consulting Fee-L'oreal|Advisor-Revea|Grant or research support-L'Oreal
Zach Harned, JD
Accociate Intellectual Property
Fenwick and West LLP
Faculty
Nothing to disclose
Sneha Jain, MD

Faculty
Nishith Khandwala, MS
Stanford University
Faculty
Nikesh Kotecha, PhD
Stanford Healthcare
Faculty
Umar Mahmood, MD, PhD
Chair
Stanford Medicine Department of Radiology
Faculty
Ownership-CytoSite Biopharma
David Ouyang, MD
Cedars Sinai Medical Center
Faculty
Grant or research support-Anthem, Pfizer, AstraZeneca, Tempus, Dandelion Health, JNJ, Abbott|Grant or research support-Alexion, Apple|Other: Co-Founder-InVision|Stocks or stock options, excluding diversified mutual funds-JNJ, Abbott|Ownership-Tempus, InVision
Anthony Paek, PhD, Executive Chairman
Lunit
Faculty
Nothing to disclose
Natalie Pageler, MD
CHIO
Faculty
Nothing to disclose
Kavita Patel, MD
Stanford
Faculty
Nothing to disclose
Jenna Wiens, PhD
Professor
University of Michigan
Faculty
Nothing to disclose
Serena Yeung-Levy, PhD
Assistant Professor of Biomedical Data Science
Stanford University
Faculty
Travis Zack, MD, PhD
Chief Medical School
OpenEvidence
Faculty
Employment-OpenEvidence
James Zou, PhD
Associate Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering
Stanford
Faculty
Nothing to disclose
Christian Bluethgen, MD, MSc
Assistant Professor
Stanford School of Medicine
Faculty, Planner
Speakers Bureau-Bayer Corporation (Relationship has ended)
Eun Kyoung (Amy) Hong, MD, PhD
Assistant Professor
Stanford Medicine
Faculty, Planner
Employment-Kakaobrain (Relationship has ended)
Johanna Kim, MBA

Planner

Wednesday, June 3, 2026

Welcome and Opening Remarks
9:00AM - 9:15AM
Curtis P Langlotz, MD, PhD
Umar Mahmood, MD, PhD

Keynote
9:15AM - 10:00AM
Yejin Choi, Other

Session 1: Advances in AI Methods and Clinical Intelligence
10:00AM - 10:45AM
Serena Yeung-Levy, PhD
James Zou, PhD
Christian Bluethgen, MD, MSc (Moderator)


New AI approaches and their potential in clinical care, highlighting the scientific advances that are shaping the next generation of clinical AI, and the factors that influence whether they translate into meaningful impact in practice
Break
10:45AM - 11:00AM

Data as the Foundation for Clinical AI
11:00AM - 11:15AM
Roxana Daneshjou, MD


AIMI’s vision for how large-scale, AI-ready clinical data can enable the development, evaluation, and real-world impact of modern health AI.
Session 2: Human-AI Collaboration in Clinical Workflows
11:15AM - 12:30PM
Jenna Wiens, PhD
Christian Bluethgen, MD, MSc (Moderator)
Sneha Jain, MD
David Ouyang, MD


Real-world examples of how AI systems are designed and implemented in clinical workflows, with a focus on human–AI interaction and what drives adoption and impact in practice.
Lunch
12:30PM - 1:15PM

Session 3: Building and Scaling Health AI from Industry to Practice
1:15PM - 2:45PM


What it takes to build and scale AI products in real healthcare markets, including the economic, operational, and market realities that determine whether they succeed in practice.

What’s Working Now: Real-World Deployments in Health AI

  • Anthony Paek, PhD - Co-founder and Executive Chairman, Lunit
  • Nerissa Ambers, MPH - Director Health Informatics Transformation, Stanford Health Care
  • Louis Blankemeier, PhD - Co-Founder and CEO, Cognita
  • Kevin Brown, MS - Founder and CEO, Standard Model Biomedicine
  • Heather Chait, MBA, DPM - AI Ecosystem Lead, Phillips 

Panel: What It Takes to Scale Health AI in Practice 

  • Cameron Chen, PhD - Research and Engineering Lead, Google
  • Hui Cheng, BA - Principal, Healthcare Investing Team, New Enterprise Associates (NEA)
  • Nikesh Kotecha, PhD - Head of Data Science, Stanford Health Care
  • Moderator: Eun Kyoung (Amy) Hong, MD - Assistant Professor of Radiology, Stanford

Break
2:45PM - 3:00PM

Keynote
3:00PM - 3:45PM
Travis Zack, MD, PhD
Natalie Pageler, MD (Moderator)

Session 4: Health AI Deployment: Navigating Decisions and Constraints
3:45PM - 4:25PM
Zach Harned, JD
Alex Cadotte, PhD
Heidi Collins, Other
Nishith Khandwala, MS
Kavita Patel, MD (Moderator)


Panel discussion on how regulatory pathways, risk considerations, and organizational decision processes shape and are navigated in the deployment of AI in clinical settings.
Closing Remarks
4:25PM - 4:35PM
Christian Bluethgen, MD, MSc
Eun Kyoung (Amy) Hong, MD, PhD

Poster Session and Reception
4:35PM - 5:00PM

We recognize the value of strategic partnerships in advancing medical education and improving patient outcomes and thank you for your time and consideration. By becoming a sponsor or exhibitor, you will help support Stanford Medicine's mission to address critical healthcare needs while making a meaningful impact on the success of our learning experiences.

TERMS & CONDITIONS


Company products must be relevant to the program content. Stanford CME reserves the right to deny any application that does not meet this requirement.

Exhibitors/Sponsors and Stanford CME agree to abide by the ACCME Standards for Integrity and Independence in Accredited Continuing Education, Stanford Medicine Industry Interactions Policy and Stanford CME Promotional Support Policy. Any actions that are not in accordance with the above stated policies may result in the removal of the exhibit/sponsor company and its representatives from the conference site, in which case no refund of exhibit/sponsor fees will be allowed.


CANCELLATION POLICY
: Please contact Stanford CME Funding for cancellation details. 


The sponsor acknowledges that conducting marketing or promotional activities in any conference area except for their assigned space is prohibited. Commercial interests may not engage in sales, promotional activities, or distribute product-specific advertisements while in the designated location of the CE activity. CE activity space includes, but is not limited to, virtual lecture halls & virtual break out rooms.



INTERESTED IN SUPPORTING THE EVENT? PLEASE CLICK 
HERE TO FILL OUT THE INTEREST FORM

Note, please do not register as a supporter until you have confirmed with the CME Funding department


Contact Us:
Stanford Medical Education Funding
Stanford CME

Email: [email protected]

Exhibit at this Event

Exhibitor Packages

Exhibitor Package - $10,000 Sponsor Price: $10000.00
Includes:
  • Recognition as a $10,000 Sponsor Exhibitor
  • Number of Exhibitor Badges: 2

Deadline for order commitment is 6/3/2026 12:00:00 AM.

Exhibitor Package - $5,000 Sponsor Price: $5000.00
Includes:
  • Recognition as a $5,000 Sponsor Exhibitor
  • Number of Exhibitor Badges: 2

Deadline for order commitment is 6/3/2026 12:00:00 AM.

 

©2023 Stanford Medicine | Privacy Policy | Terms of Use

Contact Us: [email protected]

StanfordCME Twitter StanfordCME Podcast StanfordCME LinkedIn StanfordCME Youtube