At the forefront of innovation and a leader in collaboration, our AI guidance, solutions, and partnerships advance collective outcomes. With the ability to convene disparate communities and inspire AI competence and confidence, ACR transforms practice and advances care.
Look to ACR as your trusted resource for a wealth of AI-focused tools, services and more.
The ACR Recognized Center for Healthcare-AI (ARCH-AI) is the first national artificial intelligence quality assurance program for radiology facilities designed to recognize adherence to best practices for use of AI in imaging interpretation.
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Explore the most complete searchable online directory of FDA-cleared imaging AI products in the U.S.
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Assess-AI is the first nationwide quality registry for AI that provides algorithm performance monitoring in clinical practice by capturing real-world data during clinical use in a clinical data registry.
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Where can AI add the most value in medical imaging care? What features can help garner trust from the community? Find out with our use cases, which empower AI developers to create clinically relevant, ethical and effective algorithms.
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Accelerating the development and adoption of artificial intelligence (AI) to improve patient care.
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AI has the potential to transform your workflow, and the ACR will guide you every step of the way.
Modernize your reporting and unlock the value of your data with guidance for optimal radiologist interpretation of clinical scenarios.
Put an ACR Assistant to work for youSimplify one-to-one comparisons with this collection of common radiology terms and semantic structures used across all ACR products and services.
Learn moreLeverage ACR’s data and data solutions to power AI in your work.
Developing effective machine learning (ML) tools for clinical use requires robust, well-annotated data. Our Dataset Directory connects ML practitioners with accessible, meaningful datasets for their projects.
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Visit this site for a catalog of radiology common data elements (CDEs), indexed by title and controlled terms such as SNOMED CT, LOINC and RadLex. You can group elements into sets that list the CDEs used in particular applications.
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