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Page History
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- Share best practices and recommendations for medical imaging de-identification, as identified by the MIDI Task Group convened by the NCI.
- Learn about approaches to conventional image de-identification in the United States, the European Union, and Canada.
- Discuss approaches to image de-identification by industry.
- Explore the roles of statistical risk analysis, de-facing, and AI in de-identification.
Recordings
| Date | Slides | Recording |
|---|---|---|
| 5/22/2023 | Day 1 Recording | |
| 5/23/2023 | Day 2 Slide Deck | Day 2 |
Slide Presentations
Information about the workshop program chairs, agenda, and speaker bios are at https://events.cancer.gov/nci/midi-workshop.
Some documents on this page are not Section 508 compliant. To receive a compliant document, please email NCI CBIIT MIDI Group.
| Speaker | Presentation Title | Slides |
|---|---|---|
| Keyvan Farahani, National Heart, Lung, and Blood Institute, National Institutes of Health | Welcome & Introduction | https://docs.google.com/presentation/d/1vZQDBSNhBAZFPtJwOUE_i6NgOu6IL1ZMmIWZPaCctLA/edit?usp=sharing |
| David Clunie, PixelMed |
| Report of the MIDI Task Group | https://docs.google.com/presentation/d/1pccphYb-y-uHDgicrlXZxseKMxpKNTxE51pC3ChtewA/edit |
| Fred Prior | Setting the Stage | Emailed file |
| Michael Rutherford, University of Arkansas for Medical Sciences | The Tools of TCIA: Standardizing Zero-Tolerance De-identification | Emailed file |
| Stephen Moore, Washington University School of Medicine in St. Louis | XNAT Platform: Image De-identification | https://docs.google.com/presentation/d/1roHkw48PbtV8n1agwPqtp0bBIingypxF-VNyYjI45Ss/edit?usp=sharing |
| Chairperson: Willam Parker, University of British Columbia | International Approaches to Image De-Identification | |
| William Parker | Medical Data De-ID A Canadian Perspective | https://www.icloud.com/keynote/001sv_DNMidQcXVnlQaAvsnmw#NIH_MIDI_Session |
| Haridimos Kondylakis, 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 | |
| Christian Ludwigs | Legal framework and best practices for medical image de-identification in the EU | |
| Chairperson: Juergen Klenk, Deloitte Consulting | Industry Panel on Image De-Identification | |
| Juergen Klenk | Introductory Remarks to the Industry Panel | Emailed file |
| Bob Lou, Google | Medical imaging de-identification on both images and text using AI models | https://docs.google.com/presentation/d/12TnPrlyAxNYvWbFv7y3KXZynQBHG2N5QPehQ5ah7RmY/edit#slide=id.g839f2df6fc_2_102 Also emailed file |
| Lawrence (Tony) O’Sullivan, IBIS | Optimizing and Automating Radiology Data De-identification Workflows | https://docsend.com/view/234ee2vubhyg7eyy |
| Dan Marcus, Flywheel | The Flywheel Platform for Intelligent Image Anonymization | https://docs.google.com/presentation/d/1kMd6w4w8Au3o4XjEF49y-aceg-ssTS0HKH-bsu5rZzI/edit?usp=sharing |
| Jiri Dobes, John Snow Labs | Automated Medical Data De-Identification and Obfuscation | https://johnsnowlabs-my.sharepoint.com/:p:/p/jiri/EdbJq7F3wB9Lhgf6B8QH_V8BFqmuqqGVNN3NJq5XgvX9Dg?e=20s6j2 |
| Abraham Gutman, AG Mednet, Inc. | Advances in Medical Imaging De-Identification and the Impact of Regulatory Constraints | https://www.dropbox.com/s/3wa8jbrzhj6pu2s/AG%20De-ID%20Panel.pptx?dl=0 |
| David Clunie | Closing Remarks |
