Pricing and cost-saving potential for deep-learning computer-aided lung nodule detection software in CT lung cancer screening

Pricing and cost-saving potential for deep-learning computer-aided lung nodule detection software in CT lung cancer screening

Abstract Objective An increasing number of commercial deep learning computer-aided detection (DL-CAD) systems are available but their cost-saving potential is largely unknown. This study aimed to gain insight into appropriate pricing for DL-CAD in different reading modes to be cost-saving and to det...

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Bibliographic Details
Main Authors: Yihui Du, Marcel J. W. Greuter, Mathias W. Prokop, Geertruida H. de Bock
Format: Article
Language:English
Published: SpringerOpen 2023-11-01
Series:Insights into Imaging
Subjects:
Deep learning
Computed aid detection
Pricing
Lung nodule
Lung cancer screening
Online Access:https://doi.org/10.1186/s13244-023-01561-z

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