AI-LAB Federated Learning to Expand AI Opportunities to More Radiologists
November 16, 2021
|
Kendall Schmidt
Radiologists can now get involved and develop expertise by registering their sites to take part in the ACR DSI AI federated learning program on AI-LAB...
-
AI Transparency: Why We Should Label Algorithms Like Food ProductsOctober 20, 2021 | Mark Sendak; Christopher Roth; Suresh BaluWhat if radiologists asked algorithm creators “Where can we find the product label and instruction manual, so that what’s inside the packa...
-
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.
-
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...
-
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...