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Improved Turnaround Times | Median time to first decision: 12 days

Index by author

January 01, 2023; Volume 44,Issue 1

  1. Rothfus, W.E.

    1. Spine Imaging and Spine Image-Guided Interventions
      Enhancing Annular Fissures and High-Intensity Zones: Pain, Internal Derangement, and Anesthetic Response at Provocation Lumbar Discography
      W.S. Bartynski, V. Agarwal, H. Trang, A.I. Bandos, W.E. Rothfus, J. Tsay, W.T. Delfyett and B. Nastasi
      American Journal of Neuroradiology January 2023, 44 (1) 95-104; DOI: https://doi.org/10.3174/ajnr.A7749

  2. Rudie, J.D.

    1. Pediatric Neuroimaging
      Open Access
      Development of Gestational Age–Based Fetal Brain and Intracranial Volume Reference Norms Using Deep Learning
      C.B.N. Tran, P. Nedelec, D.A. Weiss, J.D. Rudie, L. Kini, L.P. Sugrue, O.A. Glenn, C.P. Hess and A.M. Rauschecker
      American Journal of Neuroradiology January 2023, 44 (1) 82-90; DOI: https://doi.org/10.3174/ajnr.A7747

  3. Rula, E.Y.

    1. Editorial
      The No Surprises Act: What Neuroradiologists Should Know
      T.H. Nguyen, R.E. Heller, K. Keysor, J.M. Milburn, E.Y. Rula, R. Spangler and J.A. Hirsch
      American Journal of Neuroradiology January 2023, 44 (1) 7-10; DOI: https://doi.org/10.3174/ajnr.A7739

  4. Ryu, J.-C.

    1. Extracranial Vascular
      Open Access
      Association of Left Vertebral Artery Hypoplasia with Posterior Circulation Stroke and the Functional Outcome of Patients with Atrial Fibrillation–Related Cardioembolic Stroke
      J.-H. Bae, J.-C. Ryu, S.H. Ha, B.J. Kim, D.-W. Kang, S.U. Kwon, J.-S. Kim and J.Y. Chang
      American Journal of Neuroradiology January 2023, 44 (1) 65-69; DOI: https://doi.org/10.3174/ajnr.A7738

  5. Ryu, J.L.

    1. EDITOR'S CHOICEAdult Brain
      An Artificial Intelligence Tool for Clinical Decision Support and Protocol Selection for Brain MRI
      K.A. Wong, A. Hatef, J.L. Ryu, X.V. Nguyen, M.S. Makary and L.M. Prevedello
      American Journal of Neuroradiology January 2023, 44 (1) 11-16; DOI: https://doi.org/10.3174/ajnr.A7736

      This model achieved high accuracy on a standard based on physician consensus. It showed promise as a clinical decision support tool to reduce the workload by automating the protocolling of a sizeable portion of examinations while maintaining high accuracy.

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