As AI and big data have made increasing inroads into healthcare, major U.S. and European radiology organizations have begun to address potential ethical issues associated with access to patient data and AI-based diagnosis.

Earlier this month a number of radiology organizations addressed the issues in a multi-society statement, which focused on data, algorithms and practice, and appeared in the Journal of the American College of Radiology, Radiology, Insights into Imaging and the Canadian Association of Radiologists Journal.

“Radiologists remain ultimately responsible for patient care and will need to acquire new skills to do their best for patients in the new AI ecosystem,” said Dr. J. Raymond Geis, ACR Data Science Institute senior scientist and one of the paper’s leading contributors in an American Academy or Radiology statement at the time.

The societies collaborating on the statement included the ACR, European Society of Radiology (ESR), Radiological Society of North America (RSNA), Society for Imaging Informatics in Medicine (SIIM), European Society of Medical Imaging Informatics (EuSoMII), Canadian Association of Radiologists (CAR) and American Association of Physicists in Medicine (AAPM).

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