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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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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Don't Be Afraid to Talk to Medical Students About AIMarch, 15 2021 | Bibb AllenMedical 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 ...
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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...
Implementing Your AI and Informatics Strategic Road MapSeptember 17, 2021 | Juan C. Batlle, MD, MBAAttending the ACR Imaging Informatics Summit will help you take your organization’s informatics projects from concept to reality.
Key Takeaways from the Data Science SummitAugust 13, 2021 | Po-Hao (Howard) Chen, MD, MBAThe ACR DSI Summit delivered technical, financial, and patient-focused insights into today's imaging AI, providing context on how DSI is facilitating ...
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...
Drifting Away: When Your A+ Decision-Making AI Machine Falls to Average … or WorseMay 12, 2021 | J. Raymond Geis, MDIt is up to you to be sure your AI model continues to work as expected — and the jury is still out on the best way to do it.
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.
You've Purchased an AI Model. Now What?January 11, 2021 | Walter Wiggins, MD, PhDNow that AI is becoming more accessible, hearing from those who have put a program into place can provide valuable insights.
Democratizing AIDecember 15, 2020 | Dan Cohen-Addad, MDA multi-site federated learning approach to AI algorithm training can protect patient privacy and help make AI development more generalizable to wides...
How ACR Is Making AI Technology Accessible to RadiologistsNovember 17, 2020 | J. Raymond Geis, MDACR is building tools and infrastructure that are secure, user friendly, and radiologist focused.
Has AI Reimbursement in Healthcare Entered a New Era?October 17, 2020 | Gregory N. Nicola, MD, FACRCMS recently granted add-on payment for Viz AI’s stroke detection software. What could this mean for other AI products?
3 Reasons to Attend the Virtual Imaging Informatics SummitSeptember 19, 2020 | Tessa Cook, MD, PhDHere’s what you'll learn at the Informatics Summit from those who are developing and using AI in clinical care and hospital operations.
Addressing Bias in AIAugust 18, 2020 | Monica J. Wood, MDA culture of fairness ensures protection for vulnerable or underrepresented populations.
9 Pillars of Clinical AI: Lessons Learned While Building an AI-Enabled Enterprise Radiology DepartmentJuly 14, 2020 | Panagiotis Korfiatis, PhD; Daniel Blezek, PhD; Sadia Choudhery, MDFollowing these best practices to plan and implement an AI strategy helped Mayo realize AI’s benefits.
How to Make Image-Labeling Projects SuccessfulMarch 21, 2020 | Prasanth Prasanna, MD; Arjun Sharma. MDIn this blog on implementing machine learning projects, we highlight the importance of planning your image-labeling process in advance and discuss con...
Non-Interpretive AI Offers High-Impact SolutionsFebruary 17, 2020 | Alexander J. Towbin, MDWhile much-touted image-interpretation algorithms might one day provide autonomous care, it will be many years before they deliver the results we see ...