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In this session, speakers will share methods currently in use for medical de-identification.

Break

Estimated at 11:55-12:05 p.m.

Session 3: International Approaches to De-Identification

Session chair: Bill Parker, MD, DABR, FRCPC, University of British Columbia

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In this session, researchers will discuss how to analyze the re-identification risk of indirect identifiers in medical images.

Session 5: De-

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facing

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

This session will focus on real-world evidence (RWE) data modeling, including issues associated with RWE data such as electronic health record coding and unbalanced data, towards the development of clinical trialsbalancing the risks of removing potentially reconstructable facial information in head and neck cross-sectional images, also called de-facing, with the diminished utility of these images caused by restricted access to them. 

Break

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

Session 6:

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 The Role of Artificial Intelligence in De-Identification

Session chair: Judy Gichoya

Session 7: Panel Discussion

Session chair: Olivier Gevaert, Stanford University Jürgen Klenk

Discussion of the approaches and challenges identified during the workshop and opportunities for the future.

Panelists:

Closing Remarks

David Clunie, MBBS, PixelMed, Inc.Caroline Uhler, MIT and Broad Institute
Trey Ideker, UCSD
Dana Pe’er, Memorial Sloan Kettering
Ziad Obermeyer, UC Berkeley
Tianxi Cai, Harvard