AIMC Topic: Spinal Diseases
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The Application of Artificial Intelligence in Spine Surgery: A Scoping Review.
Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews
Apr 10, 2025
BACKGROUND: A comprehensive review on the application of artificial intelligence (AI) within spine surgery as a specialty remains lacking.
Accelerated Spine MRI with Deep Learning Based Image Reconstruction: A Prospective Comparison with Standard MRI.
Academic radiology
Nov 22, 2024
RATIONALE AND OBJECTIVES: To evaluate the performance of deep learning (DL) reconstructed MRI in terms of image acquisition time, overall image quality and diagnostic interchangeability compared to standard-of-care (SOC) MRI.
Revolutionizing spinal interventions: a systematic review of artificial intelligence technology applications in contemporary surgery.
BMC surgery
Nov 5, 2024
Leveraging its ability to handle large and complex datasets, artificial intelligence can uncover subtle patterns and correlations that human observation may overlook. This is particularly valuable for understanding the intricate dynamics of spinal su...
Analysis of ChatGPT in the Triage of Common Spinal Complaints.
World neurosurgery
Oct 10, 2024
BACKGROUND: ChatGPT is a natural language processing chatbot with a significant prevalence in modern media with a clear application in the medical triage workflow. ChatGPT has shown significant capacity for understanding clinical vignettes, radiology...
An artificial intelligence boost to MRI lumbar spine reporting.
European journal of radiology
Jul 25, 2024
Deep learning reconstructed T2-weighted Dixon imaging of the spine: Impact on acquisition time and image quality.
European journal of radiology
Jul 15, 2024
PURPOSE: To assess the image quality and impact on acquisition time of a novel deep learning based T2 Dixon sequence (T2) of the spine.
Super-resolution deep learning reconstruction approach for enhanced visualization in lumbar spine MR bone imaging.
European journal of radiology
Jul 3, 2024
OBJECTIVES: This study aims to assess the effectiveness of super-resolution deep-learning-based reconstruction (SR-DLR), which leverages k-space data, on the image quality of lumbar spine magnetic resonance (MR) bone imaging using a 3D multi-echo in-...
Detection and Localization of Spine Disorders from Plain Radiography.
Journal of imaging informatics in medicine
Jun 27, 2024
Spine disorders can cause severe functional limitations, including back pain, decreased pulmonary function, and increased mortality risk. Plain radiography is the first-line imaging modality to diagnose suspected spine disorders. Nevertheless, radiog...
Deep learning reconstruction for lumbar spine MRI acceleration: a prospective study.
European radiology experimental
Jun 21, 2024
BACKGROUND: We compared magnetic resonance imaging (MRI) turbo spin-echo images reconstructed using a deep learning technique (TSE-DL) with standard turbo spin-echo (TSE-SD) images of the lumbar spine regarding image quality and detection performance...
Effectiveness and safety of robot-assisted minimally invasive transforaminal lumbar interbody fusion for degenerative lumbar spinal diseases: a systematic review and meta-analysis.
Journal of robotic surgery
Jan 17, 2024
Robot-assisted (RA) technology has been widely used in spine surgery. This analysis aimed to compare the effectiveness and safety of RA minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF) and fluoroscopy-assisted (FA) MIS-TLIF for de...
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