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Review Open access Aug 2026

AI-assisted acceleration combined with deep learning of the knee: feasibility of anomaly detection

To evaluate the performance of deep learning reconstruction (DLR) for knee magnetic resonance imaging (MRI), and to assess the diagnostic value of combining DLR with artificial intelligence-assisted compressed sensing (ACS) technology in detecting knee abnormalities. This prospective study included 10 healthy volunte...

Xue Zhao, Yong Xiang, Juxian Yin et al. · 0 citations
Open access Jul 2026

Deep learning for automated instance segmentation of residual roots in panoramic radiographs using mask R-CNN: A retrospective diagnostic accuracy study

Mask R-CNN provides a robust solution for identifying residual roots, effectively addressing challenges related to low contrast and anatomical noise by combining high sensitivity with high specificity, thereby serving as a reliable automated assistant for enhancing surgical safety and planning efficiency.

Wen-Hui Li, Yaqin Chang, Rui Li et al. · 0 citations

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