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AI+HEALTH 2024


AI+HEALTH 2024 Banner

  • Overview
  • Faculty
Add to Calendar AI+HEALTH 2024 12/10/2024 8:00:00 AM 12/11/2024 2:00:00 PM America/Los_Angeles For More Details: https://stanford.cloud-cme.com/ai2024 Description: Join us for the 4th annual Stanford AI+Health Conference, where we will explore real-world AI applications across healthcare. Building on the experience of over 3,000 past attendees, this year’s program is designed to deliver actionable knowledge and insights that bridge AI innovations with clinical practice, empowering attendees to harness AI’s transformative potential.Whether you're a clinician, researcher, innovator, or ... A Live Webinar false MM/DD/YYYY


Date & Location
Tuesday, December 10, 2024, 8:00 AM - Wednesday, December 11, 2024, 2:00 PM, A Live Webinar

Overview

Join us for the 4th annual Stanford AI+Health Conference, where we will explore real-world AI applications across healthcare. Building on the experience of over 3,000 past attendees, this year’s program is designed to deliver actionable knowledge and insights that bridge AI innovations with clinical practice, empowering attendees to harness AI’s transformative potential.

Whether you're a clinician, researcher, innovator, or professional from academia, industry, government, or the non-profit sector, this wide-ranging conference led by experts from Stanford and beyond offers valuable opportunities to connect and learn—wherever you are in your AI journey. Be part of the future of healthcare and register today!

Claiming CME / Certificate of Attendance

 For those seeking continuing education credits or a certificate of attendance, please follow these steps after completing the Conference Evaluation. instructions to obtain a printable certificate will be provided upon evaluation completion.

1. Sign in using your email and password or create a new account
2. Go to MY CE, then click the Claim Credit tile
3. Enter the Activity ID 49520
4. Only claim credit for those sessions accredited for CME

After you have claimed credit, you will receive an email with your certificate of attendance for AI+HEALTH 2024.


Registration

REGISTER HERE


Credits
AMA PRA Category 1 Credits™ (20.50 hours), Non-Physician Participation Credit (20.50 hours)

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

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

  1. Discuss cutting edge research on artificial intelligence (AI) within healthcare and related domains.
  2. Describe AI's actual and potential uses within a broad range of health-related areas.
  3. Implement AI solutions in the delivery of care to patients

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 22 AMA PRA Category 1 CreditsTM.  Physicians should claim only the credit commensurate with the extent of their participation in the activity.  


Additional Information

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 special accommodations, including dietary concerns, please contact the CME.

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: Sonia Vittori
     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.

There are no relevant financial relationships with ACCME-defined ineligible companies for anyone who was in control of the content of this activity, except those listed below. All of the relevant financial relationships listed for these individuals have been mitigated.

Note: Non-clinical sessions are labeled as "Approved Exception" below.



Member Information
Role in activity
Nature of Relationship(s) / Name of Ineligible Company(s)
Faculty Photos
Daryl A. Oakes, MD
Clinical Professor of Anesthesiology, Perioperative and Pain Medicine
Stanford University School of Medicine
Course Director, Faculty
Nothing to disclose
Julia Adler-Milstein, PhD
Professor
UCSF
Faculty
Approved Exception
Yindalon Aphinyanaphongs , MD, PhD
NYU
Faculty
Nothing to disclose
Angela Aristidou, Other
Faculty
Approved Exception
Suhana Bedi
Stanford University
Faculty
Nothing to disclose
Sujatha Buddhe, MD
Associate Professor
Stanford
Faculty
Nothing to disclose
Leo Celi, MD
Harvard
Faculty
Approved Exception
Danton Samuel Char, MD
Associate Professor
Stanford
Faculty
Nothing to disclose
Jonathan Hailin Chen, MD
Assistant Professor
Stanford Center for Biomedical Informatics Research
Faculty
Paid consultant-ISHI Health
Eve Cunningham, MD, MBA
GVP, Chief Virtual Care & Digital Health
Providence
Faculty
Approved Exception
Faculty Photos
Roxana Daneshjou, MD
Assistant Professor of Biomedical Data Science and of Dermatology
Stanford
Faculty
Approved Exception
Debadutta Dash, MD
Stanford
Faculty
Nothing to disclose
Norman L Downing, MD
Clin Asst Prof
Stanford University
Faculty
Louisa Fay
Faculty
Approved Exception
Judy Gichoya, MD, MS
Associate Professor
Emory
Faculty
Nothing to disclose
Camila Gonzalez, PhD

Faculty
Approved Exception
Cora Han, JD
University of California Office of the President
Faculty
Approved Exception
Floyd Christopher Holsinger, MD
Professor
Stanford University
Us
Faculty
Nothing to disclose
Jonathan Hron, MD
Associate Chief Medical Information Officer
BCH
Faculty
Approved Exception
Sneha S Jain, MD, MBA
Stanford
Faculty
Nothing to disclose
Timothy Keyes, MD, PhD
Stanford University School of Medicine
Faculty
Nothing to disclose
David Kim, MD
Assistant Professor
Stanford University
Faculty
Nothing to disclose
Nikesh Kotecha, PhD
Stanford Healthcare
Faculty
Approved Exception
Nina Kottler, MD
RAD Partners
Faculty
Honoraria-Philips, Bayer (Relationship has ended)|Other: Travel Expenses-Aidoc and RSNA (Relationship has ended)
Curtis P Langlotz, MD, PhD
Professor of Radiology, Medicine, and Biomedical Data Science
Stanford University
Us
Faculty
Approved Exception
Fei Fei Li, PhD
Sequoia Capital Professor, Computer Science
Stanford University
Faculty
Approved Exception
Vincent Liu, MD, MS
Kaiser Permanente
Faculty
Nothing to disclose
Ivan Lopez
Stanford University
Faculty
Nothing to disclose
Matthew Lungren, MD
Microsoft
Faculty
Approved Exception
Stephen Ma, MD, PhD
Stanford University
Faculty
Nothing to disclose
David C Magnus, PhD
Director, Stanford Center for Biomedical Ethics
Stanford University
Faculty
Nothing to disclose
Faisal Mahmood, MD
Harvard
Faculty
Other: CoFounder, Equity, Advisory Board-Modella AI|Other: Travel, honorarium-AstraZeneca|Other: Travel, honorarium, Advisory Board -Danaher
Muhammad Mamdani, PharmD, MA, MPH
Vice President - Data Science and Advanced Analytics
Stanford
Faculty
Grant or research support-Roche|Advisor-Signal 1|Advisor-Mutuo Health
Kimberly McManus, PhD
VA
Faculty
Approved Exception
Faculty Photos
Jessica Mega, MD
Stanford
Faculty
Approved Exception
Keith Morse, MD
Stanford University
Faculty
Grant or research support-Johnson and Johnson
Madelena Ng, DrPH
Stanford University
Faculty
Approved Exception
Ziad Obermeyer, MD
UC Berkeley
Faculty
Approved Exception
Shauna Overgaard, PhD
Mayo Clinic
Faculty
Approved Exception
Natalie Pageler, MD
CHIO
SHC
Faculty
Approved Exception
David Rhew, MD
CMO & VP Healthcare
Microsoft
Faculty
Approved Exception
Kevin Alan Schulman, MD
Stanford
Faculty
Nothing to disclose
Nigam Shah, MBBS, PhD
Professor of Medicine
Stanford University
Faculty
Approved Exception
Christopher Demuth Sharp, MD
Stanford Health Care (SHC)
Faculty
Approved Exception
Jeanne Jeanne Shen, MD
Associate Professor
Stanford University
Us
Faculty
Grant or research support-Lunit, Inc. (Relationship has ended)
Lisa Shieh, MD
Stanford
Faculty
Nothing to disclose
Ida Sim, MD, PhD
UCSF
Faculty
Nothing to disclose
Louise Sun, MD
Stanford
Faculty
Nothing to disclose
Lillian Sung, MD, PhD
Sick Kids
Faculty
Nothing to disclose
Srinivasan Suresh, MD, MBA
Vice President & CMIO
UPMC Children's Hospital of Pittsburgh
Us
Faculty
Nothing to disclose
Sara Vaezy, Other
Faculty
Approved Exception
Nina Vasan, MD, MBA
Founder + Executive Director, Brainstorm: The Stanford Lab for Mental Health Innovation Clinical Assistant Professor of Psychiatry @ Stanford
Stanford University
Faculty
Approved Exception
Alpa Vyas
Vice President, Patient Experience
Stanford Health Care
Faculty
Sophia Ying Wang, MD
Stanford
Faculty
Nothing to disclose
Daniel Yang, MD
Kaiser Permanente
Faculty
Approved Exception
James Zou, PhD
Stanford
Faculty
Nothing to disclose
Johanna Kim, MPH, MBA
Executive Director
Stanford University
Faculty, Planner
Nothing to disclose
Alaa Youssef, PhD
Stanford
Faculty, Planner
Nothing to disclose
Patrick Hynes, MA
Senior Manager of Research Communities
Stanford HAI
Planner
Nothing to disclose
Michelle Phung, MS
Program Manager
Stanford AIMI
Planner
Nothing to disclose
Ahmad Rushdi, PhD
Senior Research Manager
Stanford HAI
Planner
Nothing to disclose
Faculty Photos
Kurt Snyder, JD
Executive Director
Stanford Center for Continuing Medical Education
Planner
Nothing to disclose
Jacqueline Thomas, BS
Administrative Associate
Stanford University
Planner
Nothing to disclose

Tuesday, December 10, 2024
 
Plenary Sessions

Plenary 1 - Keynote Talk & Fireside
8:00AM - 9:00AM
Curtis P Langlotz, MD, PhD
Daniel Yang, MD
Nigam Shah, MBBS, PhD
 
Track 1

Break
9:00AM - 9:15AM
AI-Driven Predictive Analytics for Proactive Patient Care
9:15AM - 10:30AM
Debadutta Dash, MD
Yindalon Aphinyanaphongs , MD, PhD
Lisa Shieh, MD
Break
10:30AM - 10:45AM
Advances Across Medical Imaging AI: Where We Stand Today
10:45AM - 12:00PM
Faisal Mahmood, MD
Judy Gichoya, MD, MS
Sophia Ying Wang, MD
Break - Lunch
12:00PM - 12:45PM
Clinical Decision Support in Action: AI Solutions Transforming Care
12:45PM - 2:00PM
Louise Sun, MD
Jeanne Jeanne Shen, MD
David Kim, MD
Floyd Christopher Holsinger, MD
Adjourn
2:00PM - 2:00PM
 
Track 2

Break
9:00AM - 9:15AM
Building Organizational Frameworks for Sustainable AI Programs
9:15AM - 10:30AM
Kimberly McManus, PhD
Natalie Pageler, MD
Nikesh Kotecha, PhD
Sara Vaezy, Other
Break
10:30AM - 10:45AM
Evaluating AI Tools with Stanford's FURM Model: Ensuring Fairness, Usefulness, and Reliability
10:45AM - 12:00PM
Sneha S Jain, MD, MBA
Debadutta Dash, MD
Norman L Downing, MD
Timothy Keyes, MD, PhD
Break - Lunch
12:00PM - 12:45PM
PANEL: Data Governance and Quality Assurance: Ensuring High-Quality, Secure Data for AI in Healthcare
12:45PM - 2:00PM
Cora Han, JD
Leo Celi, MD
Adjourn
2:00PM - 2:00PM
 
Track 3

Break
9:00AM - 9:15AM
Introduction to AI in Healthcare: Concepts, Terminology, and Potential Impact
9:15AM - 10:30AM
Matthew Lungren, MD
Louisa Fay
Break
10:30AM - 10:45AM
AI and Clinical Decision Support Systems: Enhancing Diagnosis and Treatment
10:45AM - 12:00PM
Ivan Lopez
Break - Lunch
12:00PM - 12:45PM
Ethics, Privacy, and Bias in AI: Navigating Challenges in Healthcare
12:45PM - 2:00PM
Danton Samuel Char, MD
Madelena Ng, DrPH
Adjourn
2:00PM - 2:00PM
 
Track 4

Break
9:00AM - 9:15AM
PANEL: Investing in Innovations Shaping the Future of Healthcare
9:15AM - 10:30AM
Break
10:30AM - 10:45AM
PANEL: The Health AI Entrepreneur's Journey
10:45AM - 12:00PM
Break - Lunch
12:00PM - 12:45PM
PANEL: Developing a Research Center for Artificial Intelligence in Medicine
12:45PM - 2:00PM
Alaa Youssef, PhD
Adjourn
2:00PM - 2:00PM
Wednesday, December 11, 2024
Plenary 2 - Keynote Talk & Fireside
8:00AM - 9:00AM
Nina Vasan, MD, MBA
Jessica Mega, MD
Plenary 3 - Panel: Shaping the Future of Responsible AI in Healthcare and Closing Remarks
12:45PM - 1:00PM
Curtis P Langlotz, MD, PhD
Ziad Obermeyer, MD
David Rhew, MD
Judy Gichoya, MD, MS
Fei Fei Li, PhD
Daryl A. Oakes, MD
David C Magnus, PhD
Break
9:00AM - 9:15AM
Advancing Pediatric Care with AI
9:15AM - 10:30AM
Sujatha Buddhe, MD
Srinivasan Suresh, MD, MBA
Lillian Sung, MD, PhD
Break
10:30AM - 10:45AM
LLMs for Operational Efficiency and Enhancing Clinical Support Systems
10:45AM - 12:00PM
Christopher Demuth Sharp, MD
James Zou, PhD
Suhana Bedi
Stephen Ma, MD, PhD
Break - Lunch
12:00PM - 12:45PM
Adjourn
2:00PM - 2:00PM
Break
9:00AM - 9:15AM
PANEL: Overcoming Adoption Barriers and Engaging Providers and Patients
9:15AM - 10:30AM
Nina Kottler, MD
Eve Cunningham, MD, MBA
Ida Sim, MD, PhD
Shauna Overgaard, PhD
Alpa Vyas
Break
10:30AM - 10:45AM
PANEL: Scaling AI and Overcoming Deployment Challenges
10:45AM - 12:00PM
Ida Sim, MD, PhD
Jonathan Hron, MD
Julia Adler-Milstein, PhD
Angela Aristidou, Other
Vincent Liu, MD, MS
Break - Lunch
12:00PM - 12:45PM
Adjourn
2:00PM - 2:00PM
Break
9:00AM - 9:15AM
Generative AI and Large Language Models in Healthcare: Potential and Risks
9:15AM - 10:30AM
Roxana Daneshjou, MD
Camila Gonzalez, PhD
Break
10:30AM - 10:45AM
Building a Business Case for AI in Healthcare
10:45AM - 12:00PM
Kevin Alan Schulman, MD
Alaa Youssef, PhD
Break - Lunch
12:00PM - 12:45PM
Adjourn
2:00PM - 2:00PM
Break
9:00AM - 9:15AM
PANEL: Building In-House AI Solutions in Healthcare
9:15AM - 10:30AM
Break
10:30AM - 10:45AM
Future Frontiers in Health AI: Emerging Technologies and Innovations
10:45AM - 12:00PM
Break - Lunch
12:00PM - 12:45PM
Adjourn
2:00PM - 2:00PM

 

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