New ACR Data Science Institute Site Helps Users Understand and Participate in Radiology Artificial Intelligence (AI) Development

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Get the latest information on American College of Radiology Data Science Institute™ efforts to advance, validate and implement artificial intelligence (AI) in radiology on its new website (

“The ACR DSI is moving artificial intelligence for medical imaging and the radiological sciences forward. The new website helps explain our work to integrate AI into radiology workflow and improve patient care. I urge those interested in AI, or who want to get involved, to visit the new site frequently,” said ACR DSI Chief Medical Officer Bibb Allen Jr., MD, FACR.

The new site offers resources to help radiologists and allied stakeholders get involved and understand how imaging AI use is progressing, including:

The site also explains how the ACR DSI is developing a framework for imaging AI implementation that:

  • Defines relevant use cases for development of AI algorithms in medical imaging, interventional radiology (IR) and radiation oncology (RO)
  • Establishes a methodology and provides tools and metrics for creating algorithm training, testing and validation data sets around these use cases
  • Develops standardized pathways for implementing AI algorithms in clinical practice
  • Creates opportunities for monitoring the effectiveness of AI algorithms in clinical practice
  • Addresses regulatory, legal and ethical issues associated with AI in medical imaging, IR and RO

“As we enter the era of machine learning, it is essential that we serve our patients by directly managing the use of clinical data science toward the improvement of care. This new site helps us do that,” said Keith J. Dreyer, DO, PhD, FACR, ACR DSI Chief Science Officer.

For more information, visit