Standardization
Seeing is Not Always Believing: The Case for Causal AI in Radiology
December 11, 2024
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Yashbir Singh
Artificial intelligence has made tremendous strides in medical imaging analysis over the past ten years. However, as these systems move closer to clin...
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Shared Goals, Improved Outcomes: Key Takeaways from the 2024 QSI ConferenceOctober 1, 2024 | Kevin HainesKevin Haines, D.O., PGY-4 from University of Connecticut Health Center, shares an insightful recap of the 2024 Quality and Safety + Informatics Confer...
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The 2024 ACR Quality and Safety and Informatics ConferenceAugust 13, 2024 | Woojin Kim
The ACR Quality and Safety + Informatics Conference provides a unique forum for quality and safety professionals to collaborate with informaticists, d...
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AI in Brief: Radiology Reports ReimaginedJuly 26, 2024 | Inayat Grewal; Howard ChenThis briefing is part of our series summarizing key research and articles to keep you up to speed on the latest in medical imaging AI.
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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...