AI Transparency: Why We Should Label Algorithms Like Food Products
October 20, 2021
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Mark Sendak; Christopher Roth; Suresh Balu
What if radiologists asked algorithm creators “Where can we find the product label and instruction manual, so that what’s inside the packa...
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Build vs. Buy: The Conundrum of Radiology AIJanuary 13, 2022 | Daniel Chow; Justin Glavis BloomHow do you decide whether it’s better to build AI systems internally or to purchase applications from an external vendor?
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The Seemingly Simple Task of Exploring FDA-Cleared Algorithms for Medical ImagingFebruary 1, 2021 | Sheela AgarwalIf you are thinking about purchasing an AI product, the ACR DSI catalog is a great place to start but you will still have some homework ahead of you.
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DSI’s AI Survey Shows ACR Tools in Sync with Member Needs for Deploying AIJune 9, 2021 | Bibb AllenWhile a modest amount of AI is currently in clinical practice, many members plan to purchase AI soon, making ACR’s support valuable for AI integ...
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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...