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Agenda - AIMI Symposium

Recordings of the AIMI Symposium and BOLD-AIR Summit can be viewed on the AIMI YouTube Channel.


AIMI Symposium - August 3, 2021 - 8:00am-5:00pm PDT

 

8:00am

Welcome and Overview

 

Curtis Langlotz - Professor of Radiology and Biomedical Informatics, Director, Center for Artificial Intelligence in Medicine and Imaging, Stanford

8:10am

Introductory Remarks

 

John Etchemendy - Professor, Denning Co-Director, Stanford Institute for Human-Centered Artificial Intelligence, Stanford

 

Andrew Ng - Adjunct Professor, Stanford

8:30am

Keynote: Ambient Intelligence in Healthcare

 

Fei-Fei Li - Sequoia Professor, Computer Science Department, Denning Co-Director, Stanford Institute for Human-Centered Artificial Intelligence, Stanford

9:00am

Session 1: Role of AI in Diagnostic Excellence

 

AI-Augmented Pathology: Challenges and Opportunities

Jeanne Shen - Assistant Professor of Pathology, Associate Director of Pathology, Center for Artificial Intelligence in Medicine and Imaging, Stanford

 

Diagnostic Accuracy and Precision Medicine in Cardiovascular Phenotyping

David Ouyang - Staff Cardiologist, Cedars-Sinai Medical Center

 

AI Drives Value

Nina Kottler - Associate Chief Medical Officer for Clinical AI, Vice President of Clinical Operations, Radiology Partners

 

Excellence Through Vigilance: Keeping Watch Over Diagnostic AI

Walter Wiggins - Clinical Director, Duke Center for AI in Radiology

 

Panel Discussion and Audience Q&A

Jonathan Chen (Moderator) - Assistant Professor, Stanford Center for Biomedical Informatics Research + Hospital Medicine, Stanford

10:15am

Break

10:15am

Session 2: Current Areas of Impact in AI

 

Data-centric Medical AI with Weak Supervision

Jason Fries - Research Scientist, Stanford

 

Is Your Risk Stratification Model Ready for Prime Time?
Jenna Wiens - Associate Professor of Computer Science and Engineering, Co-Director of Precision Health, University of Michigan

 

Natural Language Processing and Understanding in the Imaging Enterprise

Lawrence Tanenbaum - Chief Technology Officer, RadNet

 

Bridging the Gap Between Digital Pathologists and Digital Radiologists for the Diagnosis of Aggressive Prostate Cancer

Mirabela Rusu - Assistant Professor of Radiology, Stanford

 

Panel Discussion and Audience Q&A

Elsie Ross (Moderator) - Assistant Professor of Surgery and Medicine, Stanford

11:15am

Fireside Chat: Frontiers and Directions in AI and Medicine

 

Eric Horvitz - Chief Scientific Officer, Microsoft

 

John Markoff - Affiliate Fellow, Stanford Institute for Human-Centered Artificial Intelligence

11:45am

Lunch Break / Breakout Sessions - click here for breakout details

12:45pm

Session 3: Fairness, Generalizability & Societal Impact

 

Ethical Challenges in Applications of AI to Healthcare

David Magnus - Associate Dean for Research, Director, Center for Biomedical Ethics, Thomas A. Raffin Professor of Medicine and Biomedical Ethics Professor of Pediatrics and, by courtesy, of Bioengineering, Stanford

 

 

The F-ai-rest of Them All: Privacy, Data, and Machine Learning for Health

Marzyeh Ghassemi - Assistant Professor in Electrical Engineering and Computer Science & Herman L.F. von Helmholtz Career Development Professor in the Institute for Medical Engineering Science at MIT; CIFAR AI Chair, Vector Institute

 

AI/ML in Healthcare: Legal and Ethical Issues

I. Glenn Cohen - Deputy Dean and James A. Attwood and Leslie Williams Professor of Law, Harvard Law School Faculty Director, Petrie-Flom Center for Health Law Policy, Biotechnology & Bioethics, Harvard Law School

 

Reading Race: AI Recognizes Patient's Racial Identity in Medical Images

Judy Gichoya - Assistant Professor of Radiology, Emory

 

Panel Discussion and Audience Q&A

Curtis Langlotz (Moderator) - Professor of Radiology and Biomedical Informatics, Director, Center for Artificial Intelligence in Medicine and Imaging, Stanford

1:45pm

Fireside Chat: Fairness and Societal Impact

 

Rachel Thomas - Co-Founder, fast.ai

 

Nigam Shah - Professor of Medicine and of Biomedical Data Science, Co-Director, Center for Artificial Intelligence in Medicine and Imaging, Stanford

2:15pm

Break

2:30pm

Session 4: New Developments in Medical AI

 

Developing AI to Augment Surgeon Performance

Serena Yeung - Assistant Professor of Biomedical Data Science, Associate Director of Data Science, Center for Artificial Intelligence in Medicine and Imaging, Stanford

 

Self-Supervised Learning for Medicine: The New Frontier?

Pranav Rajpurkar - Assistant Professor, Harvard

 

Actionable AI for Drug Discovery and Development

Marinka Zitnik - Assistant Professor of Biomedical Informatics - Harvard

 

AI for Data-Efficient MRI Acquisition and Reconstruction

Akshay Chaudhari - Assistant Professor of Integrative Biomedical Imaging Informatics and, by Courtesy, of Biomedical Data Science; Associate Director for Research and Education, Center for Artificial Intelligence in Medicine and Imaging, Stanford

 

Panel Discussion and Audience Q&A

Shreyas Vasanawala (Moderator) - William R. Brody Professor of Pediatric Radiology, Stanford

3:30pm

Industry / Academic Partnerships Panel Discussion

 

Melissa Davis - Assistant Professor, Emory; Advisory, Nines

 

Enhao Gong - Founder and CEO, Subtle Medical

 

Nishith Khandwala - Co-Founder, Bunkerhill Health

 

Tanveer Syeda-Mahmood - IBM Fellow, IBM Almaden Research Center

 

Kenji Takeda - Director, Academic Health and AI Partnerships, Microsoft

 

Karley Yoder - GM and Chief Digital Officer, Ultrasound, GE Healthcare

 

Co-Moderated by:

 

Hugh Harvey - Radiologist; Managing Director, Hardian Health

 

Kristen Yeom - Associate Professor of Radiology and, by courtesy, of Neurosurgery, Stanford

4:00pm

Session 5: Improving Patient Outcomes with AI: Translation & Implementation

 

Predicting Clinical Deterioration in Primary Care with AI/ML: Practical Considerations for Translating and Implementing Predictive Models to Improve Population Health

Steven Lin - Clinical Associate Professor of Medicine, Executive Director, Stanford Healthcare AI Applied Research Team (HEA3RT), Stanford

 

Precision Oncology: Applications of AI for Cancer Risk and Prognosis Prediction Using Multimodal Clinical Datasets

Dania Daye - Assistant Professor of Radiology, Harvard Medical School

 

Implementing AI Tools Into Clinical Workflows

Saurabh Gombar - Chief Medical Officer, Atropos Health

 

Real-Time Validation & Monitoring of AI in Clinical Practice

Vidur Mahajan - Head of R&D, CARING Research

 

Panel Discussion and Audience Q&A

Matthew Lungren (Moderator) - Associate Professor of Radiology, Co-Director, Center for Artificial Intelligence in Medicine and Imaging, Stanford

5:00pm

Closing

 

Matthew Lungren - Associate Professor of Radiology, Co-Director, Center for Artificial Intelligence in Medicine and Imaging, Stanford