AI-LAB Federated Learning to Expand AI Opportunities to More Radiologists
November 16, 2021
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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...
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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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AI in Brief: The AI LifecycleOctober 18, 2022 | Jason Adleberg, MD; Po-Hao (Howard) Chen, MD, MBAThis briefing in our quarterly series summarizing key research and articles on AI will bring you up to speed on how AI goes from concept to value.
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An Essential Roadmap for AI in RadiologyJuly 7, 2022 | Valeria Makeeva, MDThe 2022 Data Science Summit delved into the complex relationship between AI expectations and strategies for successful AI implementation.
Are You Sure You Want to Share Your Data to Develop AI?June 14, 2022 | Rebecca Driessen, MD; Nabile Safdar, MD, MPHWhile de-identification of data is notoriously difficult, there are several methods helping radiology applications protect patient privacy and making ...
Five Ways to Sharpen Your Data Science Skills as a RadiologistMay 10, 2022 | Po-Hao (Howard) Chen, MD, MBAYou don’t need to be a full-time data scientist to keep abreast of the newest technologies.
Overfitting and Generalization of AI in Medical ImagingApril 11, 2022 | Rishi Gadepally, BS, MS2; Paras Lakhani, MDWhen it comes to potential issues with AI models, radiologists must be vigilant.
One AI to Rule Them All: The Need for Multitask AI ToolsMarch 14, 2022 | Nathaniel Linna, MD; Charles E. Kahn, MS, MDMost AI tools focus on a specific problem, slowing AI adoption and frustrating radiologists.
Uniting the Enterprise: Informatics Beyond the Radiology DepartmentFebruary 10, 2022 | Ali Tejani, MDActionable items to create buy-in and effectively lead enterprise-level change.
Build vs. Buy: The Conundrum of Radiology AIJanuary 13, 2022 | Daniel S. Chow, MD, MBA; Justin Glavis-Bloom, MDHow do you decide whether it’s better to build AI systems internally or to purchase applications from an external vendor?
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.
Navigating Medical AI Deployment and Continuous EvaluationDecember 17, 2021 | Collin Howser, MD; Brent Savoie, MD, JDWhat lurks in the innovation “valley of death” to prevent your medical AI project from surviving?
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