Don't Be Afraid to Talk to Medical Students About AI
March 15, 2021
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Bibb Allen Jr., MD, FACR
Medical students today want to hear radiology’s value proposition in an AI-enabled era. We must be prepared to explain why radiology is a...
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The Seemingly Simple Task of Exploring FDA-Cleared Algorithms for Medical ImagingFebruary 1, 2021 | Sheela Agarwal, MD, MBAIf you are thinking about purchasing an AI product, the ACR DSI catalog is a great place to start but you will still have some homework ahead of you.
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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.
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Has AI Reimbursement in Healthcare Entered a New Era?October 17, 2020 | Gregory N. Nicola, MD, FACRCMS recently granted add-on payment for Viz AI’s stroke detection software. What could this mean for other AI products?
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You've Purchased an AI Model. Now What?January 11, 2021 | Walter Wiggins, MD, PhDNow that AI is becoming more accessible, hearing from those who have put a program into place can provide valuable insights.
Democratizing AIDecember 15, 2020 | Dan Cohen-Addad, MDA multi-site federated learning approach to AI algorithm training can protect patient privacy and help make AI development more generalizable to...
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.
Has AI Reimbursement in Healthcare Entered a New Era?October 17, 2020 | Gregory N. Nicola, MD, FACRCMS recently granted add-on payment for Viz AI’s stroke detection software. What could this mean for other AI products?
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.
9 Pillars of Clinical AI: Lessons Learned While Building an AI-Enabled Enterprise Radiology DepartmentJuly 14, 2020 | Panagiotis Korfiatis, PhD; Daniel Blezek, PhD; Sadia Choudhery, MDFollowing these best practices to plan and implement an AI strategy helped Mayo realize AI’s benefits.
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...
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...
New DSI Use Cases for 2019December 17, 2019 | Bibb Allen Jr., MD, FACRThe DSI released 90 clinician-led use cases that are freely available to the radiology community in November 2019, bringing the number of DSI use...
4 Steps Radiology Residents and Fellows Can Take Now to Prepare for AI in PracticeNovember 11, 2019 | Walter Wiggins, MD, PhDA self-guided approach to being well-prepared for integrating artificial intelligence into clinical practice and adapting to the impact on efficiency...
Standardization and Structure Report Requirements for the Future of RadiologyOctober 14, 2019 | Wende Gibbs, MDOnly with standardized, structured report data can machine learning be trained and trusted in quality patient care. The popularity of artificial...