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Please see here for the full program and speaker info.

Day 1: December 6, 2023

8:00-9:00am PT

Plenary 1: Exceptional Medicine: AI+Health

Keynote Speaker: Jessica Mega, MD (Stanford); Fireside Chat Moderator: Curtis Langlotz, MD, PhD (Stanford)

Our first 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.


Breakout 1

Track 1

Revolutionizing Clinical Care: Digital Health Innovations

Eleni Linos (Moderator, Stanford); Maya Adam (Stanford); Yonatan Winetraub (Stanford); Jiyeong Kim (Stanford); Rayhan Lal (Stanford)

This session explores cutting-edge advancements in healthcare through pivotal topics such as: digital innovations for global health communication, deep learning algorithms in clinical care, and the integration of non-invasive imaging and machine learning in pathology. Experts will discuss practical and technical issues, as well as future perspectives, highlighting diverse examples of the transformative potential of digital health innovations in clinical care.

Track 2

Precision Medicine and Drug Discovery: Unveiling the Power of AI Advancements

Lei Xing (Moderator, Stanford); Jean-Emmanuel Bibault (Georges Pompidou European Hospital); Ron Dror (Stanford); Anant Madabhushi (Emory University)

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.

Track 3

Building and Evaluating Foundation Models for Healthcare

Jeya Maria Jose Valanarasu (Moderator, Stanford); Vivek Natarajan (Google); Pranav Rajpurkar (Harvard Medical School); Weidi Xie (Shanghai Jiao Tong University)

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.


Plenary 2: Bridging the AI Chasm: Translation of Innovation

Rusty Hoffman (Moderator, Stanford); Karandeep Sigh (University of Michigan); Christopher Longhurst (UC San Diego Health); Sara Murray (UCSF, UCSF Health)

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.


Breakout 2

Track 1

Integrating Generative AI Into Physician-Patient Communication and Asynchronous Care

Margaret Smith (Moderator, Stanford); Lawrence Kwan (Stanford); Christopher Sharp (Stanford); Barbette Weimer-Elder (Stanford); Tait Shanafelt (Stanford); Shreya Shah (Stanford); Stephen Ma (Stanford)

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.

Track 2

Implemented HAI: The Eyes Have It?

Edward Korot (Moderator, Stanford); Alan Karthikesalingam (Google); Pearse A. Keane (University College London); Daniela Ferrera (Tufts University School of Medicine)

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.

Track 3

Generative AI in Medicine: Potentials and Pitfalls

Cyril Zakka (Moderator, Stanford); Roxana Daneshjou (Moderator, Stanford); Katie Link (Hugging Face); Shek Azizi (Google DeepMind); Arjun Manrai (Harvard University)

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.


Plenary 3: Responsible Development and Implementation of AI in Health

Dean Lloyd Minor (Moderator, Stanford); Mike Pfeffer (Stanford); Troy Tazbaz (U.S Food & Drug Administration); Valerie Delva (Amazon Web Services); Phil Lindemann (Epic)

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.

Day 2: December 7, 2023

8:00-9:00am PT

Plenary 4: Keynote - The Emergence of General AI for Medicine

Keynote Speaker: Peter Lee, PhD (Microsoft Research & Incubations); Moderator: Natalie Pageler, MD (Stanford) 

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.


Breakout 3

Track 1

Health Systems as Product Innovators in Digital Health

Ron Li (Moderator, Stanford); Andy Chu (Providence Innovation Group); Brett McClung (Stanford) 

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.

Track 2

Pixels To Practice: Realizing the Potential of AI to Improve Dermatology Care

Tofunmi Omiye (Moderator, Stanford); Roxana Daneshjou (Stanford); Rory Sayres (Google Research); Lucy Thomas (Chelsea & Westminster Hospital NHS Foundation Trust)

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.

Track 3

AI for Mental Health

James Zou (Moderator, Stanford); Ravi Iyer (USC Marshall Neely Center); Haohan Wang (University of Illinois Urbana-Champaign); Munmun DeChoudhury (Georgia Institute of Technology)



Breakout 4

Track 1

AI Applications for Procedural and Surgical Training and Education

Lisa Marie Knowlton (Moderator, Stanford); Jeffrey Kyle Jopling (Johns Hopkins School of Medicine); Andrew Hung (Cedars Sinai Medical Center); Kenneth Perrone (Stanford) 

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.

Track 2

Precision Health via RNA + AI

Daniel Kim (Moderator, Stanford); Daniel Kim (UC Santa Cruz); Julia Salzman (Stanford); Rhiju Das (Stanford)

This session will focus on AI applications for understanding RNA and advancing new RNA medicines and diagnostics for precision health.

Track 3

Heart and Soul: new AI approaches to your body's most dynamic organ and the DNA that encodes it

Euan Ashley (Moderator, Stanford); Bruna Gomes (Stanford); Eric Nguyen (Stanford); David Ouyang (Cedars Sinai Medical Center)

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.


Breakout 5

Track 1

Harnessing Big Data for Personalized Health Innovations

Louise Sun (Moderator, Stanford); Maxime Canneson (UCLA); Douglas Lee (ICES); Guest Thierry Mesana (panel only, University of Ottawa Heart Institute)

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.

Track 2

AI in Medical Imaging: New Frontiers and Emerging Applications

Heike Daldrup-Link (Moderator, Stanford); Rupsa Bhattacharjee (UCSF); Sergios Gatidis (Stanford); Mirabela Rusu (Stanford)

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.

Track 3

Ambient Intelligence for Healthcare

Ehsan Adeli (Moderator, Stanford); Amit Kaushal (Stanford); Teodor Grantcharov (Stanford); Ghada Zamzmi (U.S Food & Drug Administration) 

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.


Plenary 5: Responsible AI for Safe and Equitable (RAISE) Health

Curt Langlotz (Moderator, Stanford); Fei-Fei Li (Stanford); Lloyd Minor (Stanford); Winnie Teutberg (Stanford); Laura Adams (National Academy of Medicine); Shriti Raj (Stanford)

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.