Nihon Hoshasen Gijutsu Gakkai zasshiHumansKnee JointArtificial IntelligenceRadiographyMale
[Investigation of the Effect of Defining Quantitative Acceptance Criteria Using AI-based Retake Decision Support System on the Frequency and Causes of Retakes in Lateral Radiography of the Knee Joint].
Riho Tsuruoka, Sono Kanoya, Shohei Kudomi, Ayumi Takegami, Etsuko Umeda, Masahiro Koike
Published: 202610.6009/jjrt.26-1543
Abstract
PURPOSE: To reduce the number of retakes in lateral knee radiography, we defined a retake rule using a commercially available artificial intelligence (AI)-based retake decision support system (RDSS) and investigated the frequency and causes of retake…
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