The Medical Imaging De-Identification workshop is being offered to examine the state of the science for the de-identification of publicly released medical images. The primary emphasis is on medical images with accompanying data elements, especially those encoded in formats in which the data elements are embedded, particularly DICOM. The sessions described below make up the workshop.
Please register here.
DAY 1, May 22, 2023 (10:00 am to 2:00 pm EDT)
Welcome and Opening Comments
Keyvan Farahani, PhD, National Heart, Lung, and Blood Institute, National Institutes of Health
Session 1: Report of the MIDI Task Group - Best Practices and Recommendations
Session Chair: David Clunie, MBBS, PixelMed, LLC
In this session, David Clunie, chair of the MIDI Task Group, will summarize the best practices and recommendations included in the task group's report, recently available in pre-print, followed by a question and answer period.
Session 2: Tools for Conventional Approaches to De-Identification
In this session, speakers will share methods currently in use for medical de-identification.
Session Chair: Fred Prior, PhD, University of Arkansas for Medical Sciences
Speakers:
- Michael Rutherford, University of Arkansas for Medical Sciences
- Stephen Moore, Washington University School of Medicine in St. Louis
Break
Estimated at 11:55-12:05 p.m.
Session 3: International Approaches to De-Identification
This session will focus on requirements for de-identification outside of the United States.
Session chair: Will Parker, MD, DABR, FRCPC, University of British Columbia
Speakers:
- Speaker 1, TBD
- Speaker 2, TBD
Session 4: Industry Approaches to De-Identification
Industry has a role to play in de-identification, developing tools that protect human identity in medical images. This session will feature presentations by industry groups that examine their approaches and offerings.
Session chair: Jürgen Klenk, PhD, Deloitte Consulting LLP
Speakers:
- Bob Lou, Google
- Lawrence (Tony) O’Sullivan, IBIS
- Rahul Krish, IBIS
- Dan Marcus, Flywheel
- Jiri Dobes, John Snow Labs
- Abraham Gutman, AG Mednet
Closing Remarks
David Clunie, MBBS, PixelMed, Inc.
DAY 2, May 23, 2023 (10:00 am to 2:00 pm EDT)
Welcome and Recap
David Clunie, MBBS, PixelMed, LLC
Session 5: Pathology Whole Slide Image De-Identification
In this session, researchers will discuss pathology whole slide image de-identification.
Session chair: Adam Taylor, PhD, Sage Bionetworks
Speakers:
- David Gutman, Emory University
- Tom Bisson, Charité Universitätsmedizin Berlin
Session 6: De-facing
This session will focus on balancing 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.
Session chair: Ying Xiao, PhD, Hospital of the University of Pennsylvania
Speakers:
- Christopher Schwartz, Mayo Clinic
- Douglas Greve, MGH/Harvard
Break
Estimated at 11:50 a.m. - 12:00 p.m.
Session 7: The Role of AI in Image in De-Identification
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 chair: Judy Wawira Gichoya, MD, MS, Emory University
Speakers:
- George Shih, Weill Cornell Medical College
- Ben Kopchick, Deloitte Consulting
- Adrienne Kline, Northwestern University
Session 8: Panel Discussion with Session Chairs
Session chair: Keyvan Farahani, PhD, National Heart, Lung, and Blood Institute, National Institutes of Health
Discussion of the approaches and challenges identified during the workshop and opportunities for the future.
Closing Remarks
David Clunie, MBBS, PixelMed, LLC
Keyvan Farahani, PhD, NCI
