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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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?
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.
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 ...
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.