National Cancer Institute Workshop

Good morning EI Community Members!

I would like to inform you all that the National Cancer Institute is organizing a virtual workshop on image de-identification (MIDI) on May 22-23, from 10am to 2pm EDT. You can register for the workshop through the following link: events.cancer.gov/nci/midi-workshop

The Center for Biomedical Informatics and Information Technology of the National Cancer Institute (NCI) is inviting all of you to attend this virtual Medical Imaging De-Identification (MIDI) workshop, which is focused on the public sharing of imaging data.

Medical imaging data is essential for diagnosing, treating, and researching diseases. Sharing imaging data can facilitate research and discoveries while promoting collaboration. However, medical images often contain sensitive information, such as personally identifiable information (PII) or protected health information (PHI), in both the pixel data and file header. Therefore, it is critical to remove sensitive information, known as de-identification, before sharing images publicly.

Manual de-identification is time-consuming, tedious, and laborious. As such, a semi- or full-automatic de-identification is highly desired. Artificial intelligence (AI) and machine learning (ML) algorithms may be deployed in the cloud to de-identify medical images, offering scalable and traceable solutions.

The primary emphasis of the workshop is on medical images with accompanying data elements, especially those in formats in which the data elements are embedded, particularly DICOM.

You can view the workshop's agenda through the link above and register today!

The goals of the two-day workshop are to:

• 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.

For information about the MIDI workshop, please contact This email address is being protected from spambots. You need JavaScript enabled to view it..

Thanks to David Clunie for bringing this to my attention.

Thx,
J