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Artificial Intelligence in Medical Diagnosis

Co-hosted by the NAM and the U.S. Government Accountability Office (U.S. GAO)

Workshop Date and Time: October 6, 2022 | 11:00 AM -12:30 PM ET
Where: Via webcast

This public webinar, hosted by the National Academy of Medicine (NAM) and the U.S. Government Accountability Office (GAO), explored the promise and issues associated with using artificial intelligence (AI) in medical diagnosis. This webinar was built off a recent GAO technology assessment titled Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning Technologies for Medical Diagnostics and NAM Perspectives Discussion Paper titled Meeting the Moment: Addressing Barriers and Facilitating Clinical Adoption of Artificial Intelligence in Medical Diagnosis. Participants heard an overview of and reactions from field experts to the GAO report and the NAM Discussion Paper.

The GAO report discusses current and emerging machine learning (ML) medical diagnostic technologies for select diseases and provides a broad overview of the challenges that affect their development and adoption. The NAM Discussion Paper focuses primarily on deployment and presents a framework for evaluating and promoting provider and health system adoption of AI-diagnostic decision support (AI-DDS) tools while exploring intersection equity issues. Together, these pieces provide options for various stakeholder groups, such as policymakers, payers, professional societies, and algorithm developers, to move towards collaborative action.

Read the NAM Discussion Paper >>> 
Read the GAO Paper >>>

Agenda

11:00 am ET | Welcome

  • Michael McGinnis, National Academy of Medicine
  • Karen Howard, U.S. Government Accountability Office

 11:10 am ET | Overview of GAO Report & NAM Discussion Paper

  • Karen Howard, U.S. Government Accountability Office
  • Steven Lin, Stanford University

11:30 am ET | Panel Discussion

Moderator: Matthew Hunter, U.S. Government Accountability Office          

  • Connie Lehman, Harvard University and Massachusetts General Hospital
  • Barbara Evans, University of Florida
  • Adewole Adamson, University of Texas at Austin
  • Dalia Powers, Humana

12:00 pm ET | Q&A

Moderator: Matthew Hunter, U.S. Government Accountability Office       

12:30 pm | Adjourn

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