Artificial Intelligence and Health Care
When: Thursday, April 30, 2020 | 2:00 to 4:00 pm ET
This free webinar, jointly hosted by the National Academy of Medicine (ÐßÐßÊÓò¤) and the U.S. Government Accountability Office (GAO) will explore the vision, opportunities, challenges, and implications of the use of artificial intelligence (AI) in health care. Speakers will review two recent publications focused on AI and health care published by the ÐßÐßÊÓò¤ and GAO.ÌýArtificial Intelligence in Health Care: The Hope, the Hype, the Promise, the PerilÌýwas published in December 2019 and outlines current and near-term AI solutions; highlights the challenges, limitations, and best practices for AI development, adoption, and maintenance; offers an overview of the legal and regulatory landscape for AI tools designed for health care application; and outlines key considerations for moving forward, including prioritizing the need for equity, inclusion, and a human rights lens for this work. GAO’s technology assessmentÌýÌýdiscusses current and emerging AI technologies available for drug development and their potential benefits; challenges to the development and adoption of these technologies; and policy options to address challenges to the use of machine learning in drug development. Machine learning has the potential to increase the efficiency and effectiveness of the drug development process, decreasing the time and cost required to bring new drugs to market, but several challenges hinder its adoption and impact. The report identifies policy options to address these challenges centered around promoting basic research, increasing data access and sharing, establishing standards, developing human capital, clarifying regulatory certainty, and maintaining the status quo.
This webinar will provide an overview of each publication and feature a panel discussion of experts after each overview.
As a courtesy to the individuals from Stanford University involved in this webinar the Stanford Center for Continuing Medical EducationÌýis pleased to offer CME credit for this activity.ÌýTo access the CME information and to claim credit please visit:Ìý
Agenda
2:00pm | Welcome
- Michael McGinnis,ÌýNational Academy of Medicine
- Tim Persons,ÌýU. S. Government Accountability Office
2:10pm | Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril: An ÐßÐßÊÓò¤ Special Publication
- Michael Matheny,ÌýVanderbilt University Medical Center and the Department of Veterans Affairs
- Sonoo Thadaney Israni,ÌýStanford University
2:25pm | Panel Discussion
- Jack Resneck,ÌýAmerican Medical Association
- Marelize Gorgens,ÌýWorld Bank
- Gil Alterovitz,ÌýU.S. Department of Veterans Affairs
- GlennÌýCohen,ÌýHarvard Law School
2:50pm | GAO Technology Assessment: Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning in Drug Development
- Karen Howard,ÌýU.S. Government Accountability Office
- Rebecca Parkhurst,ÌýU.S. Government Accountability Office
3:05pm | Panel Discussion
- Ken Getz,ÌýTufts Center for the Study of Drug Development
- M. Khair ElZarrad,ÌýFDA Center for Drug Evaluation and Research
- Danielle Friend,ÌýBiotechnology Innovation Organization
3:30pm | Q&A
4:00pm | Adjourn
As a courtesy to the individuals from Stanford University involved in this webinar the Stanford Center for Continuing Medical EducationÌýis pleased to offer CME credit for this activity.ÌýTo access the CME information and to claim credit please visit:Ìý
Questions? Please emailÌý[email protected].
