The Need for Informed Use of AI-Enabled Devices in Pediatric Patients
September 8, 2023
|
Brandon Nelson; Rongping Zeng; Marla Sammer; Donald Frush; Jana Delfino
Despite the many opportunities posed by AI, a recent white paper by the American College of Radiology’s Pediatric AI Working Group points out po...
-
Op-Ed: When Healthcare AI Passes the Turing TestAugust 8, 2023 | Keith DreyerGenerative artificial intelligence (AI) has the potential to revolutionize the healthcare sector, but AI applications face stringent regulatory hurdle...
-
Empowering the AI-Enabled Radiologist: Unleashing the Power of Informatics and AI in Revolutionizing Patient CareJuly 11, 2023 | Tina ShiangOur 2022 DSI Travel Grant Recipient, Tina Shiang, MD, recounts her experience at the 2023 ACR Data Science Summit and SIIM Annual Meeting, including a...
-
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 wides...
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, PhD, CIIP, FSIIM, FCPPHere’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 con...
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 pa...
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 case...
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 intel...
AI Has the Potential to Elevate the Way We PracticeSeptember 10, 2019 | Amy Patel, MDFor radiologists to be present, fairly valued, and more patient-facing, we must embrace the new technology that is shaping a changing imaging landscap...
4 Reasons to Attend the 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 operations...
