Addressing Bias in AI
August, 18 2020
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Monica J Wood MD
A culture of fairness ensures protection for vulnerable or underrepresented populations.
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How to Make Image-Labeling Projects SuccessfulMarch, 20 2020| Prasanth Prasanna; Arjun SharmaIn this blog on implementing machine learning projects, we highlight the importance of planning your image-labeling process in advance and discuss...
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Non-Interpretive AI Offers High-Impact SolutionsFebruary, 17 2020| Alexander TowbinWhile much-touted image-interpretation algorithms might one day provide autonomous care, it will be many years before they deliver the results we see...
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The Buzz AI Is Beating Doctors Is Trendy But FalseJanuary, 22 2020| Bibb AllenThe argument that AI will soon replace radiologists is trendy, but it doesn’t hold up under scrutiny. AI will enhance the value we provide to...
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3 Reasons to Attend the Virtual Imaging Informatics SummitSeptember 19, 2020 | Tessa Cook, MD, PhDHere’s what you'll learn at the Informatics Summit from those who are developing and using AI in clinical care and hospital operations.
Non-Interpretive AI Offers High-Impact SolutionsFebruary 17, 2020 | Alexander J. Towbin, MDWhile much-touted image-interpretation algorithms might one day provide autonomous care, it will be many years before they deliver the results we see...
The Buzz AI Is Beating Doctors Is Trendy But FalseJanuary 22, 2020 | Bibb Allen Jr., MD, FACRThe argument that AI will soon replace radiologists is trendy, but it doesn’t hold up under scrutiny. AI will enhance the value we provide to...
4 Reasons Imaging Informatics SummitAugust 19, 2019 | Christopher Roth, MD, MMCIAn unofficial guide to what you'll learn at the Informatics Summit from those who are developing and using AI in clinical care and hospital...
Democratizing AI for RadiologyApril 4, 2019 | Bibb Allen Jr., MD, FACRThe ACR Data Science Institute® ACR AI-LAB™ is a user-friendly, open, freely available, platform to enable all radiology professionals to...
Four Barriers to Integrating AI into Radiology PracticeMarch 19, 2019 | Jeff Rudie, MD, PhDThese challenges adversely impact our progress with AI and prevent us from moving forward.
Initial Experiences of a Radiology Data Science TeamFebruary 19, 2019 | Michael Moore, MDBy setting realistic project expectations, even a small data science team can achieve measurable results with AI.
Assessing and Measuring the Usability of AI in Clinical EnvironmentsJanuary 10, 2019 | Bibb Allen Jr., MD, FACRHow can institutions, vendors, and physicians work together to implement AI algorithms that have been critically assessed in routine clinical...
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Radiology and Precision MedicineDecember 13, 2018 | J. Raymond Geis, MDRadiomics may one day improve precision medicine through the clinical assessment of tumors and other diseases.