Can a deep learning artificial intelligence model lead to earlier diagnosis of high grade metastatic epidural spinal cord compression and reduction in treatment delay? by J.H.J. Tan, N. Kumar, A. Makmur, Y.H. Chan, H.W.D. Hey, T.P.D.J. Hallinan

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Deep learning model for automated detection and classification of degenerative cord signal abnormality, spinal canal and neural foraminal stenosis on cervical spine MRI by J.H.J. Tan, N. Kumar, H.W.D. Hey, A. Makmur, K.P.G. Liu, T.P.D.J. Hallinan

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Patterns of treatment delay in patients with symptomatic metastatic epidural spinal cord compression by H.T.J. Jiong, S.J. Hui, G.Z. Leow, P. Kumar, Y.H. Chan, T.P.D.J. Hallinan, N. Kumar

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An evaluation of prognostic scoring systems for survival in a surgically treated cohort of 318 metastatic spine tumour surgery patients by H.T.J. Jiong, N. Kumar, S.J. Hui, G.Z. Leow, P. Kumar, Y.H. Chan, T.P.D.J. Hallinan

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Does intraoperative cell-salvaged autologous blood transfusion in metastatic spine tumour surgery improve long-term clinical outcomes? A prospective clinical study by S.J. Hui, H.T.J. Jiong, Y.H. Chan, P. Jeyachandran, T.P.D.J. Hallinan, R. Parihar, L. Kumar, J. Cui, R.V. Agrawal, N. Kumar

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