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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.

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Session 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

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.

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

Session chair: Adam Taylor, PhD, Sage Bionetworks

In this session, researchers will discuss pathology whole slide image de-identification.

Session 6: De-facing

Session chair: Ying Xiao, PhD, Hospital of the University of Pennsylvania

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Session 7: 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 8: Panel Discussion

Session chair: Jürgen Klenk, PhD, Deloitte Consulting LLP

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