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Stanford AIMI Pediatric Symposium 2026


Stanford AIMI Pediatric Symposium 2026 Banner

  • Overview
  • Faculty
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Add to Calendar Stanford AIMI Pediatric Symposium 2026 6/4/2026 1:00:00 PM 6/4/2026 5:00:00 PM America/Los_Angeles For More Details: https://stanford.cloud-cme.com/aimipeds26 Description: The AIMI Pediatric Symposium is the Stanford AIMI Center’s annual meeting focused on advancing artificial intelligence in pediatric 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 improve pediatric patient care and outcomes across clinical and research settings. Li Ka Shing Center for Learning and Knowledge (LKSC) false MM/DD/YYYY


Date & Location
Thursday, June 4, 2026, 1:00 PM - 5:00 PM, Li Ka Shing Center for Learning and Knowledge (LKSC), Palo Alto, CA

Overview
The AIMI Pediatric Symposium is the Stanford AIMI Center’s annual meeting focused on advancing artificial intelligence in pediatric 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 improve pediatric patient care and outcomes across clinical and research settings.

Registration

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

Access to the June 4 pediatric symposium, including including networking opportunities, access to recordings, and on-site reception.

In-Person
Academic: $50
Industry: $100
Trainee: $25

Virtual Only: $0


Credits
AMA PRA Category 1 Credits™ (4.00 hours), Non-Physician Participation Credit (4.00 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 pediatric AI technologies in health and medicine, including multimodal AI, clinical foundation models, predictive analytics, and decision support systems.
  2. Evaluate and interpret pediatric AI models, including considerations for validation, governance, and ethical deployment in clinical settings.
  3. Apply practical strategies to integrate pediatric AI tools into clinical workflows and research projects effectively.
  4. Identify translational pathways, commercialization considerations, and innovation opportunities for pediatric AI-driven healthcare solutions.
  5. Assess how pediatric 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 4.00 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: CME 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
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
Johanna Kim, MBA

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