Introducing the New ACR AICentral.org: Improving Transparency & Product Information in the Imaging AI Marketplace
December 8, 2023
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Christoph Wald
Two new ACR DSI AICentral.org programs empower practices to access more-transparent AI product information and make better informed AI purchase decisi...
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Harmonizing Horizons: Reflections from the ACR Quality and Safety + Informatics Conference 2023November 10, 2023 | Dogan PolatThe 2023 American College of Radiology Quality and Safety + Informatics Conference heralded a groundbreaking integration of two formerly separate, inf...
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Embracing Equitable AI: Promoting Fairness, Inclusivity, and Societal Well-BeingNovember 9, 2023 | B Bersu OzcanWhile AI offers exciting possibilities, there are also challenges in ensuring fairness and equity in its implementation.
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OIDM-Based Next-Generation Assisted Reporting FrameworkOctober 2, 2023 | Ali Tejani, MDThe Open Imaging Data Model (OIDM) initiative seeks to define common data structures representing the data associated with clinical radiology exams. T...
AI Was Not Designed for Pediatric Patients: What Does That Mean for Them?August 10, 2022 | Marla Sammer, MD, MHA, FAAPWhile the ramifications of using AI on pediatric patients aren’t yet clear, the need for advocacy is.
Major (but Solvable) AI Challenges Get an Assist from ACR ToolsJanuary 11, 2022 | J. Raymond Geis, MDACR has been productive in developing the tools radiologists need to make progress with AI.
Overcoming Technical Roadblocks to AI Deployment with StandardizationJuly 13, 2021 | Safwan Halabi, MDDICOM Supplement 224 will alleviate the roller-coaster rides of AI deployment by standardizing processing services and applications to help catalyze A...
Standardization and Structure: Report Requirements for the Future of RadiologyOctober 14, 2019 | Wende Gibbs, MDOnly with standardized, structured report data can machine learning be trained and trusted in quality patient care. The popularity of artificial intel...