Artificial intelligence for reduced dose 18F-FDG PET examinations: a real-world deployment through a standardized framework and business case assessment

Artificial intelligence for reduced dose 18F-FDG PET examinations: a real-world deployment through a standardized framework and business case assessment

Abstract Background To determine whether artificial intelligence (AI) processed PET/CT images of reduced by one-third of 18-F-FDG activity compared to the standard injected dose, were non-inferior to native scans and if so to assess the potential impact of commercialization. Materials and methods Su...

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Bibliographic Details
Main Authors: Katia Katsari, Daniele Penna, Vincenzo Arena, Giulia Polverari, Annarita Ianniello, Domenico Italiano, Rolando Milani, Alessandro Roncacci, Rowland O. Illing, Ettore Pelosi
Format: Article
Language:English
Published: SpringerOpen 2021-03-01
Series:EJNMMI Physics
Subjects:
Artificial intelligence
PET/CT
Dose reduction
Image interpretation
Online Access:https://doi.org/10.1186/s40658-021-00374-7

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