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

Welcome and Opening Comments

10:00 am - 10:10 am EDT

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

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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 Chair: David Clunie, MBBS, PixelMed

10:10 am - 10:50 am   David Clunie, MBBS, PixelMed

                                  Summary of the MIDI Task Group Report

10:50 am - 11:00 am   Discussion

Session 2: Tools for Conventional Approaches to De-Identification

11:00 am -

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11:

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50 pm EDT

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

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11:00 am - 11:10 am    Fred Prior, PhD, University of Arkansas for Medical Sciences Sciences

Setting the Stage

11:10 am - 11:20 am    Michael Rutherford, PhDMS, University of Arkansas for Medical Sciences Sciences

The Tools of TCIA: Standardizing Zero-Tolerance De-identification 

11:20 am - 11:30 am    Stephen Moore, MS, Washington University School of Medicine in St. Louis

 XNAT Platform: Image De-identification

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.

Session chair: William Parker, MD, University of British Columbia

12:00 pm - 12:10 pm      William Parker, MD, University of British Columbia

12:10 pm - 12:20 pm     Speaker 1 (TBA)pm    Haridimos Kondylakis, PhD, Institute of Computer Science, Foundation of Research & Technology (FORTH)

 Data Infrastructures for AI in Medical Imaging: A report on the experiences of five EU projects

12:20 pm - 12:30 pm     Speaker 2 (TBA)  Christian Ludwigs, MSc, Aigora GmbH

 Legal Framework and Best Practices for Medical Image De-Identification in the EU

12:30 pm - 12:40 pm     DiscussionDiscussion

Session 4: Industry

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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.

Session chair:  Juergen Klenk, PhD, Deloitte Consulting

Panelists:

• Abraham Gutman, MS, AG Mednet
  Advances in Medical Imaging De-Identification and the Impact of Regulatory Constraints
  
  
• Dan Marcus, PhD, Flywheel
  The Flywheel Platform for Intelligent Image Anonymization
  
  
• Bob Lou, MD, Google
  Medical Imaging De-identification on Both Images and Text using AI Models
  
  
• Lawrence (Tony) O’Sullivan, IBISRahul KrishMS, IBIS
  Dan Marcus, FlywheelOptimizing and Automating Radiology
  
  
• Jiri Dobes, PhD, John Snow LabsAbraham Gutman, AG Mednet

Day 1 Closing Remarks

1:50 pm - 2:00 pm EDT

David Clunie, MBBS, PixelMed, Inc.

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

Welcome and Recap

10:00 am - 10:10 am EDT

David Clunie, MBBS, PixelMed, Inc.

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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10:20 am - 10:30 am   Tom Bisson, PhD, Charité Universitätsmedizin Berlin 

Anonymization of Whole Slide Images in in Histopathology for Research and Education

10:30 am - 10:40 am     David Gutman, MD, PhD, Emory University

Image DePHI and the DSA: Open Source tools for Histology Image De-Identification

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. 

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

11:00 am - 11:10 am     Ying Xiao, PhD, University of Pennsylvania

11:10 am - 11:20 am     Christopher Schwarz, PhD, Mayo Clinic

Face Recognition and De-Identification of Research Brain Images with mri_reface

11:20 am - 11:30 am    Douglas Greve, PhD, MGH/Harvard

MIDEFACE: Minimally Invasive Defacing

11:30 am - 11:50 am    Panel Discussion

Break 11:50 am - 12:00 pm

Session 7: The Role of AI in Image

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De-Identification

12:00 pm - 12:50 pm

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

Session chair: Judy Wawira Gichoya, MD, MS, Emory University

12:00 pm - 12:10 pm      Judy Wawira Gichoya, MD, Emory University

12:10 pm - 12:20 pm     George Shih, MD, Weill Cornell Medical College

 Pixel De-Identification Using AI

12:20 pm - 12:30 pm     Adrienne Kline, MD, PhD, Northwestern University University

PyLogik: An open-source resource for medical image de-identification 

12:30 pm - 12:50 pm 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

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

12:50 pm - 1:00 pm  Keyvan Farahani, PhD

1:00 pm - 1:10 pm     Fred Prior, PhD, University of Arkansas for Medical Sciences

     Synthetic Data for De-Identification Testing
     The MIDI Datasets 

1:10 pm - 1:20 pm    Ben Kopchick, PhD, Deloitte Consulting

                               Building a cloud-based MIDI pipeline

1:20 pm - 1:50 pm   Panel Discussion

Closing Remarks

1:50 pm - 2:00 pm EDT

David Clunie, MBBS, PixelMed, Inc.

Keyvan Farahani, PhD, NHLBI & NCI, NIH