AIMC Topic: Spine

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Fuzzy Controller Implemented for Movement of a Tendon-Driven 3D Robotic Lumbar Spine Mechanism.

Sensors (Basel, Switzerland) Dec 5, 2023
Notable efforts have been devoted to the development of biomechanical models of the spine, so the development of a motion system to control the spine becomes expressively relevant. This paper presents a fuzzy controller to manipulate the movement of ...
Humans Spine Fuzzy Logic Tendons Movement Robotics Robotic Surgical Procedures
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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).
Spine Tomography Deep Learning Cervical Vertebrae Humans Tomography, X-Ray Computed
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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
Spinal Fusion Spine Artificial Intelligence Neurosurgical Procedures Humans
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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 Retrospective Studies Female Deep Learning Image Processing, Computer-Assisted Spine Reproducibility of Results Middle Aged Diffusion Magnetic Resonance Imaging Echo-Planar Imaging
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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 ...
Spine Deep Learning Magnetic Resonance Imaging Humans Female Aged Male Retrospective Studies Reproducibility of Results 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.
Spine Female Deep Learning Scoliosis Child Male Child, Preschool Humans Radiography Infant Algorithms
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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.
Robotics Bone Screws Humans Perception Spine Pedicle Screws Surgery, Computer-Assisted
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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...
Retrospective Studies Humans Neurilemmoma Deep Learning Spine Meningeal Neoplasms
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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...
Scoliosis Vertebral Body Humans Deep Learning Reproducibility of Results Adolescent Thoracic Vertebrae Spine
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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 ...
Vibration Robotics Spine Robotic Surgical Procedures Rotation
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