Artificial intelligence and computer aided diagnosis in chronic low back pain: A systematic review
Low Back Pain (LBP) is currently the first cause of disability in the world, with a significant
socioeconomic burden. Diagnosis and treatment of LBP often involve a multidisciplinary …
socioeconomic burden. Diagnosis and treatment of LBP often involve a multidisciplinary …
Artificial intelligence and computer vision in low back pain: a systematic review
Chronic Low Back Pain (LBP) is a symptom that may be caused by several diseases, and it
is currently the leading cause of disability worldwide. The increased amount of digital …
is currently the leading cause of disability worldwide. The increased amount of digital …
Localization and edge-based segmentation of lumbar spine vertebrae to identify the deformities using deep learning models
The lumbar spine plays a very important role in our load transfer and mobility. Vertebrae
localization and segmentation are useful in detecting spinal deformities and fractures …
localization and segmentation are useful in detecting spinal deformities and fractures …
Detection of lumbar spondylolisthesis from X-ray images using deep learning network
Spondylolisthesis refers to the displacement of a vertebral body relative to the vertrabra
below it, which can cause radicular symptoms, back pain or leg pain. It usually occurs in the …
below it, which can cause radicular symptoms, back pain or leg pain. It usually occurs in the …
Deep learning based vertebral body segmentation with extraction of spinal measurements and disorder disease classification
Assessment of medical images and diagnostic decision making of lumbar associated
diseases by clinicians is invariably subjective, time consuming and challenging task …
diseases by clinicians is invariably subjective, time consuming and challenging task …
Current applications of machine learning in spine: from clinical view
GR Ren, K Yu, ZY Xie, PY Wang… - Global Spine …, 2022 - journals.sagepub.com
Study Design: Narrative review. Objectives: This review aims to present current applications
of machine learning (ML) in spine domain to clinicians. Methods: We conducted a …
of machine learning (ML) in spine domain to clinicians. Methods: We conducted a …
Deep learning automates measurement of spinopelvic parameters on lateral lumbar radiographs
JT Schwartz, BH Cho, P Tang, J Schefflein, V Arvind… - Spine, 2021 - journals.lww.com
Study Design. Cross-sectional database study. Objective. The objective of this study was to
develop an algorithm for the automated measurement of spinopelvic parameters on lateral …
develop an algorithm for the automated measurement of spinopelvic parameters on lateral …
[HTML][HTML] Applications of machine learning using electronic medical records in spine surgery
Developments in machine learning in recent years have precipitated a surge in research on
the applications of artificial intelligence within medicine. Machine learning algorithms are …
the applications of artificial intelligence within medicine. Machine learning algorithms are …
Novel artificial intelligence algorithm: an accurate and independent measure of spinopelvic parameters
LD Orosz, FR Bhatt, E Jazini, M Dreischarf… - … of Neurosurgery: Spine, 2022 - thejns.org
OBJECTIVE The analysis of sagittal alignment by measuring spinopelvic parameters has
been widely adopted among spine surgeons globally, and sagittal imbalance is a well …
been widely adopted among spine surgeons globally, and sagittal imbalance is a well …
Performance of a deep convolutional neural network for MRI-based vertebral body measurements and insufficiency fracture detection
Objectives The aim is to validate the performance of a deep convolutional neural network
(DCNN) for vertebral body measurements and insufficiency fracture detection on lumbar …
(DCNN) for vertebral body measurements and insufficiency fracture detection on lumbar …