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.· medRxiv· 0 citations
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...
It is suggestive that PH following thoracic RT may occur through a pathophysiological process distinct from RT-induced pulmonary fibrosis, as well as associated with PA radiation dose.
K. Atkins, Samuel C. Zhang, C. Kehayias et al.· Thorax· 0 citations
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