Artificial intelligence and spine imaging: limitations, regulatory issues and future direction-Reference-Cited by-同舟云学术

Artificial intelligence and spine imaging: limitations, regulatory issues and future direction

Published:2022-01-27 Issue:8 Volume:31 Page:2007-2021
ISSN:0940-6719
Container-title:European Spine Journal
language:en
Short-container-title:Eur Spine J

Author:

Hornung Alexander L.,Hornung Christopher M.,Mallow G. Michael,Barajas J. Nicolas,Espinoza Orías Alejandro A.,Galbusera Fabio,Wilke Hans-Joachim,Colman Matthew,Phillips Frank M.,An Howard S.,Samartzis Dino^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Orthopedics and Sports Medicine,Surgery

Link

https://link.springer.com/content/pdf/10.1007/s00586-021-07108-4.pdf

Reference60 articles.

1. Herzog RJ, Guyer RD, Graham-smith A, Simmons EDJ (1995) Contemporary concepts in spine care magnetic resonance imaging: use in patients with low back or radicular pain. Spine 20:1834–1838

2. Lee BCP, Kazam E, Newman AD (1978) Computed tomography of the spine and spinal cord. Radiology 128:95–102. https://doi.org/10.1148/128.1.95

3. Carrino JA, Campbell PD Jr, Lin DC et al (2011) Effect of spinal segment variants on numbering vertebral levels at lumbar MR imaging. Radiology 259:196–202

4. Fan S-W, Fang X-Q, Liu Y-J et al (2015) Reliability and variability in the interpretation of lumbar high intensity zone. Acta Orthop Traumatol Turc 49:606–613. https://doi.org/10.3944/AOTT.2015.14.0267

5. Hajiahmadi S, Shayganfar A, Askari M, Ebrahimian S (2020) Interobserver and intraobserver variability in magnetic resonance imaging evaluation of patients with suspected disc herniation. Heliyon 6:e05201. https://doi.org/10.1016/j.heliyon.2020.e05201

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning assisted segmentation of the lumbar intervertebral disc: a systematic review and meta-analysis;Journal of Orthopaedic Surgery and Research;2024-08-21

2. Intra-Examiner Reliability and Validity of Sagittal Cervical Spine Mensuration Methods Using Deep Convolutional Neural Networks;Journal of Clinical Medicine;2024-04-27

3. An overview of critical applications of resistive random access memory;Nanoscale Advances;2024

4. Trends of Low Back Pain Research in Older and Working-Age Adults from 1993 to 2023: A Bibliometric Analysis;Journal of Pain Research;2023-10

5. Spinal magnetic resonance image segmentation based on U-net;Journal of Radiation Research and Applied Sciences;2023-09