Pricing and cost-saving potential for deep-learning computer-aided lung nodule detection software in CT lung cancer screening
Yihui Du,
Marcel J. W. Greuter,
Mathias W. Prokop
et al.
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 determine the potentially most cost-effective reading mode for lung cancer screening.
Methods
In three representative settings, DL-CAD was evaluated as a concurrent… Show more
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