Artificial intelligence in spine care: current applications and future utility

AL Hornung, CM Hornung, GM Mallow… - European spine …, 2022 - Springer
Purpose The field of artificial intelligence is ever growing and the applications of machine
learning in spine care are continuously advancing. Given the advent of the intelligence …

[HTML][HTML] Diagnostic modality in spine disease: a review

GU Kim, MC Chang, TU Kim, GW Lee - Asian Spine Journal, 2020 - ncbi.nlm.nih.gov
Spine diseases are common and exhibit several causes, including degeneration, trauma,
congenital issues, and other specific factors. Most people experience a variety of symptoms …

ACR appropriateness criteria® low back pain: 2021 update

TA Hutchins, M Peckham, LM Shah, MS Parsons… - Journal of the American …, 2021 - Elsevier
Abstract In the United States, acute low back pain, with or without radiculopathy, is the
leading cause of years lived with disability and the third ranking cause of disability-adjusted …

MRI-based synthetic CT of the lumbar spine: Geometric measurements for surgery planning in comparison with CT

L Morbée, M Chen, N Herregods, P Pullens… - European journal of …, 2021 - Elsevier
Purpose MRI is the imaging modality of choice for soft tissue-related spine disease.
However, CT is superior to MRI in providing clear visualization of bony morphology. The …

Artificial intelligence and treatment algorithms in spine surgery

YP Charles, V Lamas, Y Ntilikina - Orthopaedics & Traumatology: Surgery …, 2023 - Elsevier
Artificial intelligence (AI) is a set of theories and techniques in which machines are used to
simulate human intelligence with complex computer programs. The various machine …

EOS® imaging: Concept and current applications in spinal disorders

B Garg, N Mehta, T Bansal, R Malhotra - Journal of Clinical Orthopaedics …, 2020 - Elsevier
EOS® imaging is a proprietary imaging technology that was launched in 2007. Based on a
gaseous particle detector with a multi-wire proportional chamber, it offers several …

Artificial intelligence in predicting early-onset adjacent segment degeneration following anterior cervical discectomy and fusion

SS Rudisill, AL Hornung, JN Barajas, JJ Bridge… - European Spine …, 2022 - Springer
Purpose Anterior cervical discectomy and fusion (ACDF) is a common surgical treatment for
degenerative disease in the cervical spine. However, resultant biomechanical alterations …

Are current machine learning applications comparable to radiologist classification of degenerate and herniated discs and Modic change? A systematic review and …

R Compte, I Granville Smith, A Isaac, N Danckert… - European Spine …, 2023 - Springer
Introduction Low back pain is the leading contributor to disability burden globally. It is
commonly due to degeneration of the lumbar intervertebral discs (LDD). Magnetic …

Imaging assessment of the postoperative spine: an updated pictorial review of selected complications

R Corona-Cedillo… - BioMed Research …, 2021 - Wiley Online Library
Imaging of the postoperative spine requires the identification of several critical points by the
radiologist to be written in the medical report: condition of the underlying cortical and …

Quantum computing: the future of big data and artificial intelligence in spine

GM Mallow, A Hornung, JN Barajas… - Spine Surgery and …, 2022 - jstage.jst.go.jp
With the emergence of big data and more personalized approaches to spine care and
predictive modeling, data science and deep analytics are taking center-stage. Although …