Project Success
Shared Goals, Improved Outcomes: Key Takeaways from the 2024 QSI Conference
October 1, 2024
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Kevin Haines
Kevin Haines, D.O., PGY-4 from University of Connecticut Health Center, shares an insightful recap of the 2024 Quality and Safety + Informatics Confer...
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The 2024 ACR Quality and Safety and Informatics ConferenceAugust 13, 2024 | Woojin Kim
The ACR Quality and Safety + Informatics Conference provides a unique forum for quality and safety professionals to collaborate with informaticists, d...
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AI in Brief: Radiology Reports ReimaginedJuly 26, 2024 | Inayat Grewal; Howard ChenThis briefing is part of our series summarizing key research and articles to keep you up to speed on the latest in medical imaging AI.
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Solving Today's Informatics Problems, Building Tomorrow's SolutionsSeptember 23, 2022 | Ashley Prosper, MDAn advance look at the topics of the ACR’s 2022 Imaging Informatics Summit
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.
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?
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?
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...
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.
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.
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...
My Department's Experience with AIJuly 8, 2019 | Eric Weinberg, MDHow we found an AI technology partner, brought AI to our institution and chose our first project.