AI Transparency: Why We Should Label Algorithms Like Food Products
October 20, 2021
|
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...
-
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?
-
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-LAB Federated Learning to Expand AI Opportunities to More RadiologistsNovember 16, 2021 | Kendall Schmidt, PhDRadiologists 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...
Don't Be Afraid to Talk to Medical Students About AIMarch 15, 2021 | Bibb Allen Jr., MD, FACRMedical students today want to hear radiology’s value proposition in an AI-enabled era. We must be prepared to explain why radiology is a solid ...
4 Steps Radiology Residents and Fellows Can Take Now to Prepare for AI in PracticeNovember 11, 2019 | Walter Wiggins, MD, PhDA self-guided approach to being well-prepared for integrating artificial intelligence into clinical practice and adapting to the impact on efficiency ...
What Medical Students See in AIJune 11, 2019 | Ayis Pyrros, MDYounger generations are generally willing to embrace new technology like artificial intelligence. For better or worse, AI will be shaped by them.