Data Science
Seeing is Not Always Believing: The Case for Causal AI in Radiology
December 11, 2024
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Yashbir Singh
Artificial intelligence has made tremendous strides in medical imaging analysis over the past ten years. However, as these systems move closer to clin...
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Shared Goals, Improved Outcomes: Key Takeaways from the 2024 QSI ConferenceOctober 1, 2024 | Kevin HainesKevin 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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From Bias to Breakthroughs: Key Takeaways from the 2024 ACR-SIIM Data Science SummitJuly 11, 2024 | Po-Hao (Howard) Chen, MD, MBAThis year’s event, held on June 26, 2024, at the Gaylord National Resort in National Harbor, Maryland, brought together thought leaders, industr...
SIIM-ACR Data Science Summit 2024: From Data to Diagnostics with Tested, Transparent and Trustworthy AIMay 7, 2024 | Bibb Allen Jr., MD, FACR; Po-Hao (Howard) Chen, MD, MBAAt this year's SIIM-ACR Data Science Summit on June 26, our sessions will examine the attributes of trustworthy AI, including ethics, evidence, explai...
Harmonizing Horizons: Reflections from the ACR Quality and Safety + Informatics Conference 2023November 10, 2023 | Dogan Polat, MDThe 2023 American College of Radiology Quality and Safety + Informatics Conference heralded a groundbreaking integration of two formerly separate, inf...
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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 ...