AIMC Topic: Spine

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Deep learning model for measuring the sagittal Cobb angle on cervical spine computed tomography.

BMC medical imaging Nov 28, 2023
PURPOSES: To develop a deep learning (DL) model to measure the sagittal Cobb angle of the cervical spine on computed tomography (CT).
Tomography, X-Ray Computed Tomography Deep Learning Cervical Vertebrae Humans Spine
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Letter to the editor concerning "Large language models: Are artificial intelligence-based chatbots a reliable source of patient information for spinal surgery?" by R. Stroop et al. (Eur Spine J [2023]; doi:10.1007/s00586-023-07975-z).

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Nov 16, 2023
Humans Spinal Fusion Spine Artificial Intelligence Neurosurgical Procedures
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Deep learning-based k-space-to-image reconstruction and super resolution for diffusion-weighted imaging in whole-spine MRI.

Magnetic resonance imaging Nov 7, 2023
PURPOSE: To assess the feasibility of deep learning (DL)-based k-space-to-image reconstruction and super resolution for whole-spine diffusion-weighted imaging (DWI).
Humans Deep Learning Image Processing, Computer-Assisted Diffusion Magnetic Resonance Imaging Echo-Planar Imaging Spine Reproducibility of Results Retrospective Studies Middle Aged Female
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Automatic Detection and Classification of Modic Changes in MRI Images Using Deep Learning: Intelligent Assisted Diagnosis System.

Orthopaedic surgery Nov 7, 2023
OBJECTIVE: Modic changes (MCs) are the most prevalent classification system for describing intravertebral MRI signal intensity changes. However, interpreting these intricate MRI images is a complex and time-consuming process. This study investigates ...
Female Reproducibility of Results Humans Deep Learning Aged Retrospective Studies Magnetic Resonance Imaging Spine Male Middle Aged
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Deep learning-based identification of spine growth potential on EOS radiographs.

European radiology Oct 18, 2023
OBJECTIVES: To develop an automatic computer-based method that can help clinicians in assessing spine growth potential based on EOS radiographs.
Infant Deep Learning Child Radiography Child, Preschool Female Male Humans Algorithms Spine Scoliosis
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Perception of Robotics and Navigation by Spine Fellows and Early Attendings: The Impact of These Technologies on Their Training and Practice.

World neurosurgery Oct 14, 2023
BACKGROUND: There is scant data on the role that robotics and navigation play in spine surgery training and practice of early attendings. This study aimed to assess the impact of navigation and robotics on spine surgery training and practice.
Bone Screws Spine Perception Pedicle Screws Surgery, Computer-Assisted Humans Robotics
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Differentiating spinal pathologies by deep learning approach.

The spine journal : official journal of the North American Spine Society Oct 4, 2023
BACKGROUND CONTEXT: Spinal pathologies are diverse in nature and, excluding trauma and degenerative diseases, includes infectious, neoplastic (either extradural or intradural), and inflammatory conditions. The preoperative diagnosis is made with clin...
Neurilemmoma Meningeal Neoplasms Deep Learning Spine Humans Retrospective Studies
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Automated measurements of interscrew angles in vertebral body tethering patients with deep learning.

The spine journal : official journal of the North American Spine Society Sep 27, 2023
BACKGROUND CONTEXT: Vertebral body tethering is the most popular nonfusion treatment for adolescent idiopathic scoliosis. The effect of the tether cord on the spine can be segmentally assessed by comparing the angle between two adjacent screws (inter...
Reproducibility of Results Deep Learning Humans Spine Scoliosis Vertebral Body Adolescent Thoracic Vertebrae
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State-of-the-Art of Non-Radiative, Non-Visual Spine Sensing with a Focus on Sensing Forces, Vibrations and Bioelectrical Properties: A Systematic Review.

Sensors (Basel, Switzerland) Sep 26, 2023
In the research field of robotic spine surgery, there is a big upcoming momentum for surgeon-like autonomous behaviour and surgical accuracy in robotics which goes beyond the standard engineering notions such as geometric precision. The objective of ...
Robotics Vibration Robotic Surgical Procedures Spine Rotation
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Machine Learning in Spine Surgery: A Narrative Review.

Neurosurgery Sep 18, 2023
Artificial intelligence and machine learning (ML) can offer revolutionary advances in their application to the field of spine surgery. Within the past 5 years, novel applications of ML have assisted in surgical decision-making, intraoperative imaging...
Spine Machine Learning Humans Surgeons Artificial Intelligence
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