![]() |
Page History
...
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
...
In this session, researchers will discuss how to analyze the re-identification risk of indirect identifiers in medical images.
Session 5: De-
...
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:
...
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