The Need for Informed Use of AI-Enabled Devices in Pediatric Patients
September 8, 2023
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Brandon Nelson; Rongping Zeng; Marla Sammer; Donald Frush; Jana Delfino
Despite the many opportunities posed by AI, a recent white paper by the American College of Radiology’s Pediatric AI Working Group points out po...
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Op-Ed: When Healthcare AI Passes the Turing TestAugust 8, 2023 | Keith DreyerGenerative artificial intelligence (AI) has the potential to revolutionize the healthcare sector, but AI applications face stringent regulatory hurdle...
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Empowering the AI-Enabled Radiologist: Unleashing the Power of Informatics and AI in Revolutionizing Patient CareJuly 11, 2023 | Tina ShiangOur 2022 DSI Travel Grant Recipient, Tina Shiang, MD, recounts her experience at the 2023 ACR Data Science Summit and SIIM Annual Meeting, including a...
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SIIM-ACR Data Science Summit 2023: Exploring the Value of AI to Harness the FutureMay 10, 2023 | Bibb Allen Jr., MD, FACR; Po-Hao (Howard) Chen, MD, MBAAre you ready to embrace the power of artificial intelligence (AI)-enabled imaging tools in your practice but struggling to convince hospital leadersh...
AI In Women's Imaging: "From Cells to Pixels"March 14, 2023 | Abiola Femi-Abodunde, MDAccording 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 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....
Benefits and Dangers of Synthetic Data for Radiology AIDecember 12, 2022 | Bryant Chang, BS, MS, MS3; Tessa Cook, MD, PhD, CIIP, FSIIM, FCPPSynthetic data has the potential to fill research gaps, but radiologists should be aware of potential drawbacks.
AI in Brief: The AI LifecycleOctober 18, 2022 | Jason Adleberg, MD; Po-Hao (Howard) Chen, MD, MBAThis briefing in our quarterly series summarizing key research and articles on AI will bring you up to speed on how AI goes from concept to value.
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
AI Was Not Designed for Pediatric Patients: What Does That Mean for Them?August 10, 2022 | Marla Sammer, MD, MHA, FAAPWhile the ramifications of using AI on pediatric patients aren’t yet clear, the need for advocacy is.
AI in Brief: Leveraging Latent DataJuly 11, 2022 | Ali Tejani, MD; Po-Hao (Howard) Chen, MD, MBAThis first briefing in our new quarterly series summarizing key research and articles on AI will bring you up to speed on how we are learning from lat...
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.
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.