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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How ACR Is Making AI Technology Accessible to RadiologistsNovember 17, 2020 | J. Raymond Geis, MDACR is building tools and infrastructure that are secure, user friendly, and radiologist focused.
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.
Addressing Bias in AIAugust 18, 2020 | Monica J. Wood, MDA culture of fairness ensures protection for vulnerable or underrepresented populations.
How to Make Image-Labeling Projects SuccessfulMarch 21, 2020 | Prasanth Prasanna, MD; Arjun Sharma. MDIn this blog on implementing machine learning projects, we highlight the importance of planning your image-labeling process in advance and discuss...
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...
My Department's Experience with AIJuly 8, 2019 | Eric Weinberg, MDHow we found an AI technology partner, brought AI to our institution and chose our first project.
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.
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...