AI In Women's Imaging: "From Cells to Pixels"
March 14, 2023
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Abiola Femi-Abodunde
According to the Center for Disease Control (CDC) statistics, there are about 260,000 newly diagnosed cases of breast cancer in the United States with...
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Understanding Bias in AIFebruary 14, 2023 | Ali TejaniA thoughtful approach to implementing AI tools can prevent adverse effects that can lead to disparities in healthcare.
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Bringing Photoacoustic Imaging to Clinical PracticeJanuary 17, 2023 | Thomas StavrosPhotoacoustic (PA) Imaging is an emerging imaging modality that enables imaging via optical absorption in biological tissues with acoustic resolution....
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Benefits and Dangers of Synthetic Data for Radiology AIDecember 12, 2022 | Bryant Chang; Tessa CookSynthetic data has the potential to fill research gaps, but radiologists should be aware of potential drawbacks.
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Understanding Bias in AIFebruary 14, 2023 | Ali Tejani, MDA thoughtful approach to implementing AI tools can prevent adverse effects that can lead to disparities in healthcare.
Bringing Photoacoustic Imaging to Clinical PracticeJanuary 17, 2023 | Thomas Stavros, MD, FACRPhotoacoustic (PA) Imaging is an emerging imaging modality that enables imaging via optical absorption in biological tissues with acoustic resolution....
Who Is Responsible (and Liable) for AI Use in Healthcare?October 17, 2022 | Irene Dixe de Oliveira Santo, MD; Tessa Cook, MD, PhD, CIIP, FSIIM, FCPPThere are unanswered questions about what happens in situations where the human expert disagrees with AI, and how those situation are perceived or pot...
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
An Essential Roadmap for AI in RadiologyJuly 7, 2022 | Valeria Makeeva, MDThe 2022 Data Science Summit delved into the complex relationship between AI expectations and strategies for successful AI implementation.
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.
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.
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.
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...