Ethics of AI
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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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 ...
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.
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.
Addressing Bias in AIAugust 18, 2020 | Monica J. Wood, MDA culture of fairness ensures protection for vulnerable or underrepresented populations.
How to Share Big Data for Artificial IntelligenceSeptember 18, 2018 | Juan C. Batlle, MD, MBAAs one of the handful of companies partnering with IBM's artificial intelligence project (Watson), Baptist Health navigated several challenges to main...