News | Artificial Intelligence | May 23, 2017

ACR Data Science Institute to Guide Artificial Intelligence Use in Medical Imaging

Program will give radiologists a voice in defining appropriate use, setting standards and addressing key issues surrounding AI

ACR Data Science Institute to Guide Artificial Intelligence Use in Medical Imaging

May 23, 2017 — The American College of Radiology (ACR) announced the launch of the ACR Data Science Institute (DSI) at the ACR 2017 — The Crossroads of Radiology annual meeting, May 21-25 in Washington, D.C. The ACR DSI will work with government, industry and others to guide and facilitate the appropriate development and implementation of artificial intelligence (AI) tools to help radiologists improve medical imaging care.

The program will lead creation of a national quality, technical and leadership framework to:

  • Define appropriate medical imaging AI use cases;
  • Set standards for medical imaging AI interoperability;
  • Test and evaluate medical imaging AI algorithms; and
  • Address regulatory, legal and ethical issues that accompany medical imaging AI.

“Patients will benefit most from artificial intelligence if radiologists serve a leading role in guiding the technologies that best enhance medical imaging diagnosis and treatment,” said James A. Brink, MD, FACR, chair of the ACR Board of Chancellors. “The ACR Data Science Institute will create, gather, manage and integrate AI knowledge as these tools emerge to improve patient care.”

The ACR DSI will benefit from decades of ACR experience in modality accreditation, appropriateness criteria, practice standards and radiology workflow standardization, according to Brink. “ACR’s pioneering role in creating DICOM standards promoted the adoption of digital modalities, filmless radiology, advanced visualization, PACS [picture archiving and communication systems] and now AI,” he added.

For more information: www.acr.org

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