
Imaging Informatics
Stewards of data and privacy, supporting radiologists throughout the state

Imaging Informatics
Stewards of data and privacy, supporting radiologists throughout the state
Imaging Informatics for Department of Radiology and Imaging Sciences
Understanding bias in medical imaging AI
Department experts participated in a nationwide effort to develop artificial intelligence (AI) technology that can accurately identify self-reported race through medical images. The research, which was published in The Lancet Digital Health, shows how AI can correctly predict a patient’s race—the race they identify with on hospital paperwork— with only the medical image, something a human radiologist would be unable to do.

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What is Imaging Informatics?
Believe it or not, radiology is often at the forefront of
Though radiology leads Imaging Informatics, it represents medical imaging throughout the enterprise. Imaging Informatics encompasses the life cycle of medical images, through acquisition and storage to processing and interpretation. The field develops the tools and methods to transform image data into information driving clinical decisions.