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Showing content from https://www.acr.org/Data-Science-and-Informatics/ACR-Data-Science-Institute below:

ACR Data Science Institute

The American College of Radiology Data Science Institute® (DSI) develops the framework for implementing machine learning (ML) in radiology. Tap into DSI’s resources to learn how to maintain quality assurance and confidently master revolutionary technology.

• ACR
• Data Science and Informatics
• ACR Data Science Institute

As new technologies emerge to improve imaging, DSI keeps you engaged in the process and updated on all the latest advancements.

• ACR® Recognized Center for Healthcare-AI (ARCH-AI)

  Setting the guidelines for artificial intelligence (AI) use in imaging interpretation, ARCH-AI is the first national AI quality assurance program to help you recognize and adhere to best practices.

  Become an ARCH-AI site
• Assess-AI

  The first large-scale quality registry in AI that provides algorithm performance monitoring in clinical practice by capturing real-world data in a clinical setting.

  Join Assess-AI
• AI-LAB

  Learn about and participate directly in the creation, validation and use of healthcare AI.

  See how AI LAB can help
• AI Central

  Search the most complete and up-to-date directory of commercially available imaging AI products in the U.S. to make better purchasing decisions for your facility.

  Explore the directory
• DSI Use Cases

  Study scenarios where AI improves medical imaging care to learn how tools can be implemented to improve patient care.

  View the use cases

DSI collaborates with radiology professionals, industry leaders, government agencies, patients and other stakeholders in developing and implementing AI applications that will help improve patient care.

Our AI Lifecycle includes:

• Defining clinically relevant use cases for the development of AI algorithms in medical imaging, interventional radiology and radiation oncology.
• Establishing a methodology and providing tools and metrics for creating algorithm training, testing and validation data sets around these use cases.
• Developing standardized pathways for implementing AI algorithms in clinical practice.
• Creating opportunities for monitoring the effectiveness of AI algorithms in clinical practice.
• Addressing the regulatory, legal and ethical issues associated with AI in medical imaging, interventional radiology, and radiation oncology.

ACR DSI's mission is to:

• Leverage the value of radiology professionals through clinically relevant use case development and clinical workflow integration as AI evolves.
• Ensure patient safety through algorithm validation and by advising government agencies, such as the FDA, to enhance the regulatory approval process in ways that benefit and protect patients.
• Establish industry relationships by defining clinically valuable use cases, working with the FDA and other agencies to develop an effective regulatory process for algorithm approval, and creating pathways to integrate AI models into the clinical workflow.
• Educate radiology professionals and other stakeholders about AI and ACR’s role in data science for the good of our patients.

Get all the latest news, articles and insights on quality and safety, AI Central market updates and more.

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