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AI + Health 2023 On-Demand


AI + Health 2023 On-Demand Banner

  • Overview
  • Faculty
  • Register
  • Sponsors
  • Begin


Date & Location
Tuesday, February 13, 2024, 12:00 AM - Wednesday, February 12, 2025, 11:59 PM, On Demand

Overview
Watch on-demand videos from AI+Health 2023, featuring top experts from academia, government, and clinical practice discussing AI's impact on healthcare. Gain practical insight into the latest research and applications of AI in various health-related domains. Find out how to implement AI solutions in patient care delivery.

Registration

     Release Date: February 13, 2024
     Expiration Date:
February 12, 2025
     Estimated Time to Complete:
18 hours 48 minutes
     Registration Fee:
$148

*Originally recorded on December 6-7, 2023 as part of the AI + Health Conference.  Learn more about about this online event from the Stanford Institute for Human-Centered Artificial Intelligence (HAI), Center for Artificial Intelligence in Medicine and Imaging (AIMI), and Center for Continuing Medical Education (CME).

Click Begin (at the top) to learn more about how to enroll in the course.


Credits
AMA PRA Category 1 Credits™ (18.75 hours), Non-Physician Participation Credit (18.75 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 Enduring Material for a maximum of 18.75 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
Live Activities: Cancellations received in writing no less than 20 days before the course will be refunded. No refunds will be made on cancellations received after that date. Self-paced Activities: No refunds will be made on cancellation requests after a learner accesses any part of the course content. Any cancellations refunded will less a 20% administrative fee. Please send cancellation requests to [email protected].

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.

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, 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

References/Bibliography
For additional resources, please review the videos.

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 in the table below.

All of the relevant financial relationships for these individuals have been mitigated.

Faculty Member Information

Role in activity

Nature of Relationship(s) / Name of Ineligible Company(s)

Laura Adams, MS

Senior Advisor

National Academy of Medicine

Speaker

The content of this speaker's session is not related to products or the business lines of an ACCME-defined ineligible company. Hence, there are no relevant financial relationships with an ACCME-defined ineligible company.

Ehsan Adeli, PhD

Assistant Professor

Stanford University

Moderator

The content of this speaker's session is not related to products or the business lines of an ACCME-defined ineligible company. Hence, there are no relevant financial relationships with an ACCME-defined ineligible company.

Euan Ashley, MD, PhD

Associate Dean

Stanford University

Moderator

Non-CME Session

Shek Azizi, PhD

Senior Research Assistant

Google DeepMind

Speaker

Nothing to disclose

Rupsa Bhattacharjee, PhD

Research Associate

UCSF

Speaker

Nothing to disclose

Jean-Emmanuel Bibault, MD, PhD

PR

Georges Pompidou European Hospital

Speaker

Nothing to disclose

Maxime Canneson MD, PhD

Professor and Chair

UCLA

Speaker

Non-CME Session

Andy Chu

SVP Product &Technology

Providence Health

Speaker

Nothing to disclose

Heike Dalrup-Link, MD, PhD

Professor

Stanford University

Moderator

Nothing to disclose

Roxana Daneshjou, MD, PhD

Assistant Professor

Stanford University

Moderator

Personal Fees (DWA, Pfizer, L’Oréal); Stock Options (MD Algorithms, Revea); Patent Pending (Truelmage)

Rhiju Das, PhD
Professor

Stanford University

Speaker

Co-founder and Shares, Inceptive

Munmun DeChoudhury, PhD

Associate Professor

Georgia Institute of Technology

Speaker

Nothing to disclose

Valerie Delva, MS

Head Data Strategy & Solutions

Amazon Web Services

Speaker

Nothing to disclose

Ron Dror, PhD

Professor of Computer Science

Stanford University

Speaker

The content of this speaker's session is not related to products or the business lines of an ACCME-defined ineligible company. Hence, there are no relevant financial relationships with an ACCME-defined ineligible company.

Ali Fazlollahi, BSc, MSc

Medical Student

McGill University

Speaker

Nothing to disclose

Daniela Ferrara, MD, PhD, FASRS

Assistant Professor

Stanford University

Speaker

The content of this speaker's session is not related to products or the business lines of an ACCME-defined ineligible company. Hence, there are no relevant financial relationships with an ACCME-defined ineligible company.

Sergios Gatidis, MD

Associate Professor

Stanford University

Speaker

Nothing to disclose

Bruna Gomes, MD, MSc

Postdoctoral Scholar

Stanford University

Speaker

Nothing to disclose

Teodor Grantcharov, MD
Professor

Stanford University

Speaker

Nothing to disclose

Rusty Hoffmann, MD

Professor & Chief, Interventional Radiology

Stanford University

Moderator

Nothing to disclose

Andrew Hung, MD
Vice Chair for Academic Development

Cedars-Sinai Medical Center

Speaker

The content of this speaker's session is not related to products or the business lines of an ACCME-defined ineligible company. Hence, there are no relevant financial relationships with an ACCME-defined ineligible company.

Ravi Iyer, PhD

Managing Director

USC Marshall Neely Center

Speaker

Nothing to disclose

Jeffrey Jopling, MD, MSHS

Assistant Professor of Surgery

John Hopkins School of Medicine

Moderator

Nothing to disclose

Amit Kaushal, MD, PhD

Clinical Associate Professor

Stanford University

Speaker

Nothing to disclose

Pearse Keane, MD

Professor

University College London

Speaker

The content of this speaker's session is not related to products or the business lines of an ACCME-defined ineligible company. Hence, there are no relevant financial relationships with an ACCME-defined ineligible company.

Daniel Kim, PhD

Assistant Professor

Stanford University

Speaker

Founder, Shareholder, and Board Member (LincRNA Bio); Honorarium (Veracyte)

Lisa Knowlton, MD, MPH

Assistant Professor

Stanford University

Moderator

Nothing to disclose

Justin Ko, MD

Clinical Professor

Stanford University

Moderator

Research Collaboration (Google Health); Medical Advisor (Skin Analytics, Enspectra, hims/hers); Trials investigator and advisor (Eli Lilly, AbbVie, Pfizer)

Edward Korot, MD

Retina Specialist

Stanford University

Moderator

The content of this speaker's session is not related to products or the business lines of an ACCME-defined ineligible company. Hence, there are no relevant financial relationships with an ACCME-defined ineligible company.

Lawrence Kwan, MD

Medical Director

Stanford University

Speaker

Nothing to disclose

Curt Langlotz, MD, PhD

Professor

Stanford University

Moderator

Option Holder (Whiterabbit.ai); Advisor and Option Holder (GaluleoCDS, Sirona Medical, Adra, Kheiron); Paid Consultant (Sixth Street, Gilmartin Capital); Recent grant and gift support (BunkerHill Health, Carestream, CARPL, Clairity, GE Healthcare, Google Cloud, IBM, Kheiron, Lambda, Lunit, Microsoft, Philips, Siemens Healthineers, Stability.ai, Subtle Medical, VinBrain, Whiterabbit.ai)

Douglas Lee, MD, PhD, FRCPC

Senior Scientist

ICES

Speaker

Nothing to disclose

Peter Lee, PhD

Corporate Vice President

Microsoft Research & Incubations

Speaker

The content of this speaker's session is not related to products or the business lines of an ACCME-defined ineligible company. Hence, there are no relevant financial relationships with an ACCME-defined ineligible company.

Fei-Fei Li, PhD
Co-Director

Stanford Institute for Human-Centered AI

Speaker

The content of this speaker's session is not related to products or the business lines of an ACCME-defined ineligible company. Hence, there are no relevant financial relationships with an ACCME-defined ineligible company.

Ron Li, MD

Clinical Associate Professor

Stanford Medicine

Moderator

Nothing to disclose

Steven Lin, MD
Director

Stanford Healthcare AI Research Team

Moderator

The content of this speaker's session is not related to products or the business lines of an ACCME-defined ineligible company. Hence, there are no relevant financial relationships with an ACCME-defined ineligible company.

Phil Lindemann

VP, AI & Analytics

Epic

Speaker

Nothing to disclose

Katie Link

Machine Learning Engineer

Hugging Face

Speaker

Nothing to disclose

Christopher Longhurst, MD, MS

Chief Medical & Digital Officer

US San Diego Health

Speaker

Nothing to disclose

Stephen Ma, MD, PhD

Clinical Informatics Fellow

Stanford University

Speaker

Nothing to disclose

Anant Madabhushi, PhD

Professor

Emory University

Speaker

The content of this speaker's session is not related to products or the business lines of an ACCME-defined ineligible company. Hence, there are no relevant financial relationships with an ACCME-defined ineligible company.

Arjun Manrai, PhD

Assistant Professor

Harvard University

Speaker

Nothing to disclose

Brett McClung, MS

Founder/ Managing Member

Stark Advising, LLC

Speaker

Nothing to disclose

Jessica Mega, MD, MPH

Cardiologist

Stanford University

Speaker

Employee (Verily, Relationship has ended); Board of Directors (Boston Scientific, Danaher Corporation)

Thierry Mesana, MD, PhD

President and CEO

University of Ottawa Heart Institute

Speaker

Nothing to disclose

Lloyd Minor, MD
Dean, School of Medicine

Stanford University

Speaker

Nothing to disclose

Sara Murray, MD, MAS

VP and Chief Health Officer

UCSF an UCSF Health

Speaker

Nothing to disclose

Vivek Natarajan, MS

Research Lead

Google

Speaker

Nothing to disclose

Eric Nquyen, MD, MS

PhD Candidate

Stanford University

Speaker

Nothing to disclose

Tofunmi Omiye, MD, MS

Postdoctoral Scholar

Stanford University

Moderator

Nothing to disclose

David Ouyang, MD

Assistant Professor

Cedars Sinai Medical Center

Speaker

The content of this speaker's session is not related to products or the business lines of an ACCME-defined ineligible company. Hence, there are no relevant financial relationships with an ACCME-defined ineligible company.

Natalie Pageler, MD
Chief Health Information Officer

Stanford Medicine Children’s Health

Moderator

Nothing to disclose

Vanessa Palter, MD, PhD

Surgical Safety Technologies

Speaker

Nothing to disclose

Kenneth Perrone, MD

Clinical Instructor

Stanford University

Speaker

Nothing to disclose

Michael Pfeffer, MD
Chief Information Officer

Stanford Health Care

Speaker

Nothing to disclose

Shriti Raj, PhD

Assistant Professor

Stanford University

Speaker

Nothing to disclose

Pranav Rajpurkar, PhD

Assistant Professor

Harvard Medical School

Speaker

Nothing to disclose

Leah Rosengaus, MS

Director, Digital Health Care

Stanford Health Care

Speaker

Nothing to disclose

Mirabela Rusu, PhD
Assistant Professor

Stanford University

Speaker

Consulting Fee (Roche)

Julia Salzman, PhD

SPLASH

Stanford University

Speaker

Nothing to disclose

Rory Sayres, PhD
Staff Researcher

Google

Speaker

Nothing to disclose

Nigam Shah, MBBS, PhD

Professor Of Medicine

Stanford University

Moderator

Nothing to disclose

Shreya Shah, MD

Clinical Assistant Professor

Stanford University

Speaker

Nothing to disclose

Tait Shanafelt, MD

Chief Wellness Officer

Stanford University

Speaker

The content of this speaker's session is not related to products or the business lines of an ACCME-defined ineligible company. Hence, there are no relevant financial relationships with an ACCME-defined ineligible company.

Christopher Sharp, MD

Clinical Professor

Stanford Health Care

Speaker

Nothing to disclose

Karandeep Singh, MD, MMSC
Assistant Professor

University of Michigan

Speaker

Consultant - Scientific Advisory Board (Flatiron Health)

Margaret Smith, MBA

Director

Stanford School Of Medicine

Moderator

The content of this speaker's session is not related to products or the business lines of an ACCME-defined ineligible company. Hence, there are no relevant financial relationships with an ACCME-defined ineligible company.

Louise Sun, MD
Professor and Chief

Stanford University

Moderator

Non-CME Session

Troy Tazbaz

Director of Digital Health

U.S. Food & Drug Administration

Speaker

Nothing to disclose

Winnie Teuteberg, MD

Clinical Professor

Stanford University

Speaker

The content of this speaker's session is not related to products or the business lines of an ACCME-defined ineligible company. Hence, there are no relevant financial relationships with an ACCME-defined ineligible company.

Lucy Thomas, MPharm, MBChB
Chelsea & Westminster Hospital

Speaker

Clinical advisory board member, independent consultant, shareholder, investigator (PI), education & research grants (Skin Analytics Ltd); Educational grants and speaker fees (L’Oréal, UCB Pharma); Educational Grants (Janssen); Speaker Fees (Almirall), Brand Ambassador (Unilever)

Jeya Maria Valanarasu, PhD

Postdoctoral Scholar

Stanford AIMI

Moderator

Nothing to disclose

Haohan Wang, PhD

Assistant Professor

University of Illinois Urbana-Champaign

Speaker

Nothing to disclose

Barbette Weimer-Elder, PhD, RN

Executive Director

Stanford Physician Partnership Program

Speaker

Nothing to disclose

Weidi Xie, PhD

Associate Professor

Shanghai Jiao Tong University

Speaker

Nothing to disclose

Lei Xing, PhD

Professor

Stanford University

Moderator

Nothing to disclose

Recai Yilmaz, MD

McGill University

Speaker

Nothing to disclose

Cyril Zakka, MD

Postdoctoral Fellow

Stanford University

Moderator

Nothing to disclose

Ghada Zamzmi, PhD
Food and Drug Administration

Speaker

Nothing to disclose

James Zou, PhD

Assistant Professor

Stanford University

Moderator

Nothing to disclose




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 session, except those in the table above. 

All of the relevant financial relationships for these individuals have been mitigated.  


 




AI + Health 2023 On-Demand
Instructions: Please purchase video content to continue.  After purchase, please click the "Launch Video" buttons to begin each presentation. After successful completion of all presentations, click the Claim CE button (AT THE BOTTOM), attest to your participation, view results, and complete the evaluation. Your credit transcript will be available to view and download immediately in MY CE portal. 
Purchase
Exceptional Medicine: AI+Health
This keynote presentation will feature Dr. Jessica Mega, who will delve into the development of technology in healthcare and life science, the road to technology adoption, and the use of AI in healthcare and life science through clinical applications. The session will include a moderated fireside chat with Dr. Curt Langlotz, engaging attendees in a dynamic Q&A session, addressing questions, and fostering insightful discussions on the topics explored.
Purchase
Precision Medicine and Drug Discovery: Unveiling the Power of AI Advancements
This session will focus on the recent advances of AI in precision medicine and drug discovery. Various technical and practical issues as well as future perspectives in these rapidly evolving fields will be summarized.
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Building and Evaluating Foundation Models for Healthcare
This session will delve into the challenges and innovations related to foundation models in healthcare. Speakers will discuss the early developments and adoption of foundation models in the healthcare domain, addressing issues such as data accessibility, pre-training approaches, and performance evaluation. Talks and discussions will provide valuable insights into the future of foundation models in healthcare.
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Bridging the AI Chasm: Translation of Innovation
This plenary session will unravel the intricate process of bridging the AI chasm, a crucial step that connects research with real-world implementation. Academic and industry experts will discuss translating AI innovations to clinical settings, offering insights into practical applications and deployment in healthcare, bridging the gap between innovation and implementation.
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Integrating Generative AI Into Physician-Patient Communication and Asynchronous Care
This session will explore the use of large language models in physician-patient communication and asynchronous care delivery. Stanford’s experience as one of the first health systems to implement an Epic-integrated, LLM-powered auto-reply tool to help manage electronic patient messages will be discussed, focusing on optimizing clinical operations, enhancing physician-patient communication, and reducing physician burnout.
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Implemented HAI: The Eyes Have It?
This session will provide insights into global trends in the application of safe AI within ophthalmology and broader healthcare. It will offer perspectives from international research and tech companies, discussing the applications and challenges of implementing AI in eye care and healthcare at large.
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Generative AI in Medicine: Potentials and Pitfalls
In an era where technology is evolving at an unprecedented pace, the field of medicine is ripe for transformation. This session will shed light on innovative applications of Generative AI in medical research, diagnostics, treatment planning, and healthcare management. Industry leaders and academic experts will explore the challenges, breakthroughs, and ethical considerations associated with employing Generative AI in healthcare.
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Responsible Development and Implementation of AI in Health
Moderated by Stanford University School of Medicine’s Dean Lloyd Minor, this plenary session will focus on the responsible development and implementation of AI in health. Experts will discuss ethical considerations, best practices, and the future implications of AI in healthcare, ensuring a balanced and ethical integration of AI technologies in the field.
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The Emergence of General AI for Medicine
In this keynote plenary session, Dr. Peter Lee will provide insights into the emergence of General AI for Medicine. Future prospects and challenges associated with General AI in the field of healthcare will be explored. The session will include a moderated fireside chat with Dr. Natalie Pageler, engaging attendees in a dynamic Q&A session, addressing questions, and fostering insightful discussions on the topics explored.
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Health Systems as Product Innovators in Digital Health
Digital technologies are transforming healthcare, and health systems can lean in on their care delivery expertise to be active innovators as builders rather than passive customers of vendors. This panel will discuss building and scaling ecosystems for digital innovation. Topics will include operating models, measuring value, leadership buy-in, sustainability, and using clinical informatics for organizational transformation.
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Pixels To Practice: Realizing the Potential of AI to Improve Dermatology Care
This session will explore the transformative role of AI in dermatology and patient care by delving into the impact of foundation models on education, treatment delivery, and patient outcomes. Gain insights from global perspectives on the promise and challenges of AI in healthcare systems broadly, leaving with a comprehensive understanding of AI's pivotal role in dermatology and beyond.
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AI for Mental Health
Presentations include: - Designing Social Media Algorithms for Health by Ravi Iyer, PhD - Robust Machine Learning Techniques Helps Fine-grained Understanding of the Alzheimer's Disease by Haohan Wang, PhD - Bias and Harms in Mental Health Measurement with Online Technologies by Munmun DeChoudhury, PhD
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AI Applications for Procedural and Surgical Training and Education
This session will discuss various applications of AI and machine learning in surgical training and education. Experts will explore how these technologies are improving clinical diagnosis, outcomes, and technical skills of surgeons and proceduralists. Specific research on computer vision, augmented reality, and gaming platforms for skills acquisition will be presented.
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Heart and Soul: new AI approaches to your body's most dynamic organ and the DNA that encodes it (NO CME)

Leading experts in AI applications to cardiovascular health and genomics will present their latest work and discuss the future of understanding the heart and applying that knowledge to medicine. The session will also explore how new long-range language models can be utilized to understand the most fundamental language of all: our DNA.

Note - This video is not eligible for CME credit.

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Harnessing Big Data for Personalized Health Innovations (NO CME)

Delve into the world of big data in healthcare, exploring its types, management strategies, and its transformative potential in personalized health innovations. Experts will discuss various types of big data, management strategies, and data-driven models. The session will highlight how effective data utilization can improve clinical operations and enhance personalized healthcare.

Note - This video is not eligible for CME credit.

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AI in Medical Imaging: New Frontiers and Emerging Applications
This session will focus on the clinical-translational applications of AI in medical imaging. Experts will present and discuss new frontiers and emerging applications of AI in the field of medical imaging, showcasing innovative approaches and their potential impact on healthcare.
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Ambient Intelligence for Healthcare
This session will discuss Ambient Intelligence (AmI) in healthcare, focusing on the integration of seamlessly interconnected electronic devices and systems supporting patient care in hospitals and homes. Experts will discuss continuous monitoring, smart home adaptations, improved patient experiences, remote health tracking, data-driven decision support, personalized rehabilitation, and predictive health analytics. Challenges related to data security and privacy in AmI will also be discussed.
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Responsible AI for Safe and Equitable (RAISE) Health
In the closing plenary session, Drs. Fei-Fei Li and Lloyd Minor will present “Responsible AI For Safe and Equitable (RAISE) Health”, a new joint initiative between Stanford Medicine and the Stanford Institute for Human-Centered AI to guide the responsible use of AI across biomedical research, education, and patient care. Additional speakers will address ethical considerations and safe implementation of AI in healthcare to promote equity and fairness in its applications.
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Special Thank You to our Sponsors Cosm & Stanford Research Park!

 

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