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Author

D. Kozono

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Aug 2026

Deep Learning-Based Classification of Bone Lesions on CT Scans of Metastatic Spine Disease Patients: A 3D-Convolutional Neural Network Approach

3D-CNNs trained with vertebra-level labels can accurately and reliably classify vertebral metastatic lesion quality from CT scans, offering a scalable path toward automated characterization of metastatic spine disease to support clinical decision-making and large-scale radiomics research.

V. Hong, A. Bulent, N. Haouchine et al. · 0 citations
Open access Sep 2026

Validating LLM judges for automated oversight of patient communication

LLMs are increasingly used to mediate patient communication, yet scalable evaluation of their safety, accuracy, and communication quality remains an open problem. LLM judges have emerged as automated evaluators, but whether they can holistically replicate human expert judgment is unvalidated. Informed consent for clini...

Zi-Du Xu, Johnathan Zeng, Shuang Zhou et al. · 0 citations

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