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• Think about what we should say about this topic in the report.

December 7, 2021 Meeting

WebEx recording of the 12/07/2021 meeting

Dr. Fred Prior's slides

David Clunie's slides

Discussion of de-facing with Dr. Fred Prior:

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• Insider attack
• Outsider attack
• Schwartz et al experiment is difficult to extrapolate from but has a lot of impact on the common understanding of the capabilities of AI.
• Real-world numbers: How many people in the US with gliomas to compare with? 100,000 over a 5-year period, 65 median age.
• If we train on reconstructions, how can you quantify reconstructions?
• Literature needed to inform the HIPAA regulation writers.
• Neuroimaging bias in this context. The wrong conclusions can be reached quickly.
• HIPAA has the statistical arm and the 18 elements arm. Peoples faces may not be useful in a specific context that can be shown statistically.
• Do we need to write a paper or do an experiment? Can we do experiments with data that could risk its status?
• We need a statistical expert who is familiar with quantifying reidentification risk.
• Judy would love to run experiments.
• Could we do experiments with TCIA data? License, data use agreements...
• Judy said she was able to get her IRB to approve experiments with head-neck data.
• Create a sub-group of this task group to plan these experiments.
• Can we apply Facebook's re-id algorithm to Mayo data? Federated experiment that aggregates findings to avoid risking re-identification of any individual institution's data. Could get approval for something like this. 
• Brian Bialecki's idea to apply to experiment design: An institution may be the only group that knows the identity of some data. They then would also know whether your guess as to the identity of that data could be wrong. They could tell you if you're in the ballpark as far as location. This experiment could be done with fewer approvals: coordinating centers that know the location of the sites submitting the data, even if they don't retain the patients identities, could be used to reject/narrow matches, since a match to a different geographic location than the catchment region of the site could be assumed to be a false positive.