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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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.
A Patient's Perspective on AIApril 12, 2021 | David AndrewsPatients will continue to want the best that AI can provide joined with the best of the abilities of human clinicians.
Addressing Bias in AIAugust 18, 2020 | Monica J. Wood, MDA culture of fairness ensures protection for vulnerable or underrepresented populations.
How to Share Big Data for Artificial IntelligenceSeptember 18, 2018 | Juan C. Batlle, MD, MBAAs one of the handful of companies partnering with IBM's artificial intelligence project (Watson), Baptist Health navigated several challenges to main...