Artificial intelligence-assisted MRI diagnosis in lumbar degenerative disc disease: a systematic review

W Liawrungrueang, JB Park… - Global Spine …, 2024 - journals.sagepub.com
Study Design Systematic review. Objectives Lumbar degenerative disc disease (DDD)
poses a significant global health care challenge, with accurate diagnosis being difficult …

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 …

Automated detection, labelling and radiological grading of clinical spinal MRIs

R Windsor, A Jamaludin, T Kadir, A Zisserman - Scientific Reports, 2024 - nature.com
Spinal magnetic resonance (MR) scans are a vital tool for diagnosing the cause of back pain
for many diseases and conditions. However, interpreting clinically useful information from …

[HTML][HTML] Machine Learning and Deep Learning for Diagnosis of Lumbar Spinal Stenosis: Systematic Review and Meta-Analysis

T Wang, R Chen, N Fan, L Zang, S Yuan, P Du… - Journal of Medical …, 2024 - jmir.org
Background Lumbar spinal stenosis (LSS) is a major cause of pain and disability in older
individuals worldwide. Although increasing studies of traditional machine learning (TML) …

Current Applications and Future Implications of Artificial Intelligence in Spine Surgery and Research: A Narrative Review and Commentary

AT Yahanda, K Joseph, T Bui… - Global Spine …, 2024 - journals.sagepub.com
Study Design Narrative review. Objectives Artificial intelligence (AI) is being increasingly
applied to the domain of spine surgery. We present a review of AI in spine surgery, including …

Deep learning in rheumatological image interpretation

BC Stoel, M Staring, M Reijnierse… - Nature Reviews …, 2024 - nature.com
Artificial intelligence techniques, specifically deep learning, have already affected daily life
in a wide range of areas. Likewise, initial applications have been explored in rheumatology …

Artificial intelligence for segmentation and classification in lumbar spinal stenosis: an overview of current methods

EJA Verheijen, T Kapogiannis, D Munteh… - European Spine …, 2025 - Springer
Purpose Lumbar spinal stenosis (LSS) is a frequently occurring condition defined by
narrowing of the spinal or nerve root canal due to degenerative changes. Physicians use …

Imaging of Spondylodiscitis: A Comprehensive Updated Review—Multimodality Imaging Findings, Differential Diagnosis, and Specific Microorganisms Detection

A Crombé, D Fadli, R Clinca, G Reverchon, L Cevolani… - Microorganisms, 2024 - mdpi.com
Spondylodiscitis is defined by infectious conditions involving the vertebral column. The
incidence of the disease has constantly increased over the last decades. Imaging plays a …

External validation of SpineNet, an open-source deep learning model for grading lumbar disk degeneration MRI features, using the Northern Finland birth cohort 1966

TP McSweeney, A Tiulpin, S Saarakkala, J Niinimäki… - Spine, 2023 - journals.lww.com
Study Design. This is a retrospective observational study to externally validate a deep
learning image classification model. Objective. Deep learning models such as SpineNet …

Preliminary data on artificial intelligence tool in magnetic resonance imaging assessment of degenerative pathologies of lumbar spine

V Granata, R Fusco, S Coluccino, C Russo, F Grassi… - La radiologia …, 2024 - Springer
Purpose To evaluate the ability of an artificial intelligence (AI) tool in magnetic resonance
imaging (MRI) assessment of degenerative pathologies of lumbar spine using radiologist …