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 …
commonly due to degeneration of the lumbar intervertebral discs (LDD). Magnetic …
Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation
T Vrtovec, B Ibragimov - European Spine Journal, 2022 - Springer
Purpose To summarize and critically evaluate the existing studies for spinopelvic
measurements of sagittal balance that are based on deep learning (DL). Methods Three …
measurements of sagittal balance that are based on deep learning (DL). Methods Three …
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 …
degenerative disease in the cervical spine. However, resultant biomechanical alterations …
Can artificial intelligence support or even replace physicians in measuring sagittal balance? A validation study on preoperative and postoperative full spine images of …
P Grover, J Siebenwirth, C Caspari, S Drange… - European Spine …, 2022 - Springer
Purpose Sagittal balance (SB) plays an important role in the surgical treatment of spinal
disorders. The aim of this research study is to provide a detailed evaluation of a new, fully …
disorders. The aim of this research study is to provide a detailed evaluation of a new, fully …
External validation of the deep learning system “SpineNet” for grading radiological features of degeneration on MRIs of the lumbar spine
A Grob, M Loibl, A Jamaludin, S Winklhofer… - European Spine …, 2022 - Springer
Background Magnetic resonance imaging (MRI) is used to detect degenerative changes of
the lumbar spine. SpineNet (SN), a computer vision-based system, performs an automated …
the lumbar spine. SpineNet (SN), a computer vision-based system, performs an automated …
Symtc: A symbiotic transformer-cnn net for instance segmentation of lumbar spine mri
Intervertebral disc disease, a prevalent ailment, frequently leads to intermittent or persistent
low back pain, and diagnosing and assessing of this disease rely on accurate measurement …
low back pain, and diagnosing and assessing of this disease rely on accurate measurement …
Automatic prostate cancer detection model based on ensemble VGGNet feature generation and NCA feature selection using magnetic resonance images
Prostate cancer is one of the most common types of cancer in men and its frequency is 28
per hundred thousand in the world. This cancer is detected using Magnetic Resonance …
per hundred thousand in the world. This cancer is detected using Magnetic Resonance …
A convolutional neural network to detect scoliosis treatment in radiographs
Purpose The aim of this work is to propose a classification algorithm to automatically detect
treatment for scoliosis (brace, implant or no treatment) in postero-anterior radiographs. Such …
treatment for scoliosis (brace, implant or no treatment) in postero-anterior radiographs. Such …
Improved diagnostic performance of plain radiography for cervical ossification of the posterior longitudinal ligament using deep learning
HD Chae, SH Hong, HJ Yeoh, YR Kang, SM Lee… - Plos one, 2022 - journals.plos.org
Background A high false-negative rate has been reported for the diagnosis of ossification of
the posterior longitudinal ligament (OPLL) using plain radiography. We investigated whether …
the posterior longitudinal ligament (OPLL) using plain radiography. We investigated whether …
Predictive factors for degenerative lumbar spinal stenosis: a model obtained from a machine learning algorithm technique
Background Degenerative lumbar spinal stenosis (DLSS) is the most common spine
disease in the elderly population. It is usually associated with lumbar spine joints/or …
disease in the elderly population. It is usually associated with lumbar spine joints/or …