Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification-Part 2: Pathology Whole Slide Image De-identification, De-facing, the Role of AI in Image De-identification, and the NCI MIDI Datasets and Pipeline.

Journal: Journal of imaging informatics in medicine
PMID: 38980626

Abstract

De-identification of medical images intended for research is a core requirement for data sharing initiatives, particularly as the demand for data for artificial intelligence (AI) applications grows. The Center for Biomedical Informatics and Information Technology (CBIIT) of the United States National Cancer Institute (NCI) convened a two half-day virtual workshop with the intent of summarizing the state of the art in de-identification technology and processes and exploring interesting aspects of the subject. This paper summarizes the highlights of the second day of the workshop, the recordings and presentations of which are publicly available for review. The topics covered included pathology whole slide image de-identification, de-facing, the role of AI in image de-identification, and the NCI Medical Image De-Identification Initiative (MIDI) datasets and pipeline.

Authors

  • David Clunie
    PixelMed Publishing, Bangor, PA, USA. dclunie@dclunie.com.
  • Adam Taylor
    GlaxoSmithKline, Gunnels Wood Road, Stevenage SG1 2NY, U.K.
  • Tom Bisson
    Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • David Gutman
    Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
  • Ying Xiao
    Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, USA.
  • Christopher G Schwarz
    Department of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA.
  • Douglas Greve
    MGH/Harvard, Boston, MA, USA.
  • Judy Gichoya
    Department of Radiology, Medical College of Georgia at Augusta University, 1120 15th St, Augusta, GA 30912 (Y.T.); and Department of Radiology, Emory University, Atlanta, Ga (B.V., E.K., A.P., J.G., N.S., H.T.).
  • George Shih
  • Adrienne Kline
  • Ben Kopchick
    Deloitte Consulting, New York, NY, USA.
  • Keyvan Farahani
    Image-Guided Interventions and Imaging Informatics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.

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