Comparative effectiveness of standard vs. AI-assisted PET/CT reading workflow for pre-treatment lymphoma staging: a multi-institutional reader study evaluation

Comparative effectiveness of standard vs. AI-assisted PET/CT reading workflow for pre-treatment lymphoma staging: a multi-institutional reader study evaluation

BackgroundFluorine-18 fluorodeoxyglucose (FDG)-positron emission tomography/computed tomography (PET/CT) is widely used for staging high-grade lymphoma, with the time to evaluate such studies varying depending on the complexity of the case. Integrating artificial intelligence (AI) within the reporti...

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Bibliographic Details
Main Authors: Russell Frood, Julien M. Y. Willaime, Brad Miles, Greg Chambers, H’ssein Al-Chalabi, Tamir Ali, Natasha Hougham, Naomi Brooks, George Petrides, Matthew Naylor, Daniel Ward, Tom Sulkin, Richard Chaytor, Peter Strouhal, Chirag Patel, Andrew F. Scarsbrook
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-01-01
Series:Frontiers in Nuclear Medicine
Subjects:
artificial intelligence
lymphoma
PET/CT
multi-reader study
efficiency
Online Access:https://www.frontiersin.org/articles/10.3389/fnume.2023.1327186/full

Internet

https://www.frontiersin.org/articles/10.3389/fnume.2023.1327186/full

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