[HTML][HTML] 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 …
The role of Artificial intelligence in the assessment of the spine and spinal cord
T Martín-Noguerol, MO Miranda, TJ Amrhein… - European Journal of …, 2023 - Elsevier
Artificial intelligence (AI) application development is underway in all areas of radiology
where many promising tools are focused on the spine and spinal cord. In the past decade …
where many promising tools are focused on the spine and spinal cord. In the past decade …
[HTML][HTML] A deep learning model for detection of cervical spinal cord compression in MRI scans
Z Merali, JZ Wang, JH Badhiwala, CD Witiw… - Scientific reports, 2021 - nature.com
Abstract Magnetic Resonance Imaging (MRI) evidence of spinal cord compression plays a
central role in the diagnosis of degenerative cervical myelopathy (DCM). There is growing …
central role in the diagnosis of degenerative cervical myelopathy (DCM). There is growing …
Evaluation of deep learning reconstructed high-resolution 3D lumbar spine MRI
Objectives To compare interobserver agreement and image quality of 3D T2-weighted fast
spin echo (T2w-FSE) L-spine MRI images processed with a deep learning reconstruction …
spin echo (T2w-FSE) L-spine MRI images processed with a deep learning reconstruction …
Deep learning for multi-tissue segmentation and fully automatic personalized biomechanical models from BACPAC clinical lumbar spine MRI
Abstract Study Design In vivo retrospective study of fully automatic quantitative imaging
feature extraction from clinically acquired lumbar spine magnetic resonance imaging (MRI) …
feature extraction from clinically acquired lumbar spine magnetic resonance imaging (MRI) …
[HTML][HTML] Deep learning approaches to automatic radiology report generation: A systematic review
Background A radiology report communicates the imaging findings to the referring clinicians.
The rising number of referrals has created a bottleneck in healthcare. Writing a report takes …
The rising number of referrals has created a bottleneck in healthcare. Writing a report takes …
[HTML][HTML] Novel magnetic resonance imaging tools for the diagnosis of degenerative disc disease: a narrative review
Low back pain (LBP) is one of the leading causes of disability worldwide, with a significant
socioeconomic burden on healthcare systems. It is mainly caused by degenerative disc …
socioeconomic burden on healthcare systems. It is mainly caused by degenerative disc …
[HTML][HTML] Current development and prospects of deep learning in spine image analysis: a literature review
B Qu, J Cao, C Qian, J Wu, J Lin, L Wang… - … Imaging in Medicine …, 2022 - ncbi.nlm.nih.gov
Methods A systematic literature search was conducted in the PubMed and Web of Science
databases using the keywords “deep learning” and “spine”. Date ranges used to conduct the …
databases using the keywords “deep learning” and “spine”. Date ranges used to conduct the …
Context-aware transformers for spinal cancer detection and radiological grading
This paper proposes a novel transformer-based model architecture for medical imaging
problems involving analysis of vertebrae. It considers two applications of such models in MR …
problems involving analysis of vertebrae. It considers two applications of such models in MR …
[HTML][HTML] Natural language processing in low back pain and spine diseases: A systematic review
Natural Language Processing (NLP) is a discipline at the intersection between Computer
Science (CS), Artificial Intelligence (AI), and Linguistics that leverages unstructured human …
Science (CS), Artificial Intelligence (AI), and Linguistics that leverages unstructured human …