News | Artificial Intelligence | May 23, 2017

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


Related Content

News | Breast Imaging

Aug. 28, 2024 — Rezolut, LLC recently debuted its latest offering for patients during their annual mammogram ...

Time August 29, 2024
arrow
News | Digital Pathology

Paige has launched OmniScreen, an AI-driven biomarker module capable of evaluating over 505 genes and detecting 1,228 ...

Time August 27, 2024
arrow
News | Computed Tomography (CT)

SPONSORED CONTENT — Fujifilm’s latest CT technology brings exceptional image quality to a compact and user- and patient ...

Time August 06, 2024
arrow
News | RSNA

July 31, 2024 — The National Imaging Informatics Course (NIIC), a pioneering program in the radiology field, will return ...

Time July 31, 2024
arrow
News | Radiology Business

July 31, 2024 — The American Registry of Radiologic Technologists (ARRT) announced the three Registered Technologists (R ...

Time July 31, 2024
arrow
Feature | Radiation Oncology | By Christine Book

News emerging from several leading organizations and vendors in the radiation therapy arena came in at a fast pace in ...

Time July 30, 2024
arrow
Feature | Computed Tomography (CT) | By Melinda Taschetta-Millane

In the ever-evolving landscape of medical imaging, computed tomography (CT) stands out as a cornerstone technology ...

Time July 30, 2024
arrow
Videos | Radiology Business

Find actionable insights to achieve sustainability and savings in radiology in this newest of ITN’s “One on One” video ...

Time July 30, 2024
arrow
News | Breast Imaging

July 29, 2024 — Lunit, a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, announced the ...

Time July 29, 2024
arrow
News | Breast Imaging

July 29, 2024 — iCAD, Inc., a global leader in clinically proven AI-powered cancer detection solutions, announced a ...

Time July 29, 2024
arrow
Subscribe Now