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This session will focus on requirements for de-identification outside of the United States.

Session

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4: Industry Approaches to De-Identification

Session chair: Keyvan Farahani, PhD, Center for Biomedical Informatics and Information Technology, National Cancer Institute, National Institutes of Health

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David Clunie, MBBS, PixelMed, LLC

Session

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5: Pathology Whole Slide Image De-Identification

Session chair: Mark ElliotAdam Taylor, PhD, University of ManchesterSage Bionetworks

In this session, researchers will discuss how to analyze the re-identification risk of indirect identifiers in medical imagespathology whole slide image de-identification.

Session

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6: De-facing

Session chair: Ying Xiao, Ph.D. Hospital of the University of Pennsylvania

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Estimated at 11:50 a.m. - 12:00 p.m.

Session

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7:

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The Role of Artificial Intelligence in De-Identification

Session chair: Judy Wawira Gichoya, MD, MS, Emory University

In this session, researchers discuss the utility and risk of using algorithms from machine learning (ML) and artificial intelligence (AI) to de-identify medical images.

Session

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8: Panel Discussion

Session chair: Jürgen Klenk, PhD, Deloitte Consulting LLP

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