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DAY 1, May 22, 2023 (10:00 am - 2:00 pm EDT) 

Welcome and Opening Comments

Keyvan Farahani, PhD, National Heart, Lung, and Blood Institute & National Cancer Institute, National Institutes of Health

Session 1: Report of the MIDI Task Group - Best Practices and Recommendations

10:10 am - 11:00 am EDT

Session Chair: David Clunie, MBBS, PixelMed

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

11:00 am - 12:00 pm EDT

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

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11:30 am - 11:50 am   Panel Discussion 

Break 11:50 am - 12:00 pm

Session 3: International Approaches to De-Identification

12:00 pm - 12:40 pm EDT

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

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12:30 pm - 12:40 pm     Discussion

Session 4: Industry Panel on Image De-Identification

12:40 pm - 1:50 pm EDT

This session, largely a panel discussion, will feature flash presentations by industry groups and discuss their innovative approaches to image de-identification.

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• Abraham Gutman, MS, AG Mednet
  Advances in Medical Imaging De-Identification and the Impact of Regulatory Constraints
• Dan Marcus, PhD, Flywheel
• Bob Lou, MD, Google
• Lawrence (Tony) O’Sullivan, MS, IBIS
• Jiri Dobes, PhD, John Snow Labs

Day 1 Closing Remarks

David Clunie, MBBS, PixelMed

DAY 2, May 23, 2023 (10:00 am - 2:00 pm EDT) 

Welcome and Recap

David Clunie, MBBS, PixelMed

Session 5: Pathology Whole Slide Image De-Identification

10:10 am - 11:00 am EDT

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

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10:40 am - 11:00 am   Panel Discussion 

Session 6: De-facing

11:00 am - 12:00 pm EDT

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. 

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11:30 am - 11:50 am   Panel Discussion

Break 11:50 am - 12:00 pm

Session 7: The Role of AI in Image in De-Identification

12:00 pm - 12:50 pm

In this session, researchers discuss the utility of AI algorithms in image de-identification.

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12:30 pm - 12:50 pm  Panel Discussion

Session 8: NCI MIDI Datasets and Pipeline

12:50 pm - 1:50 pm

This session will present CBIIT/NCI Medical Image De-Identification Datasets and Pipeline

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1:20 pm - 1:50 pm   Panel Discussion

Closing Remarks

David Clunie, MBBS, PixelMed

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