AIMC Topic: Spine

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Robotic navigation during spine surgery: an update of literature.

Expert review of medical devices
INTRODUCTION: The application of robotic navigation during spine surgery has advanced rapidly over the past two decades, especially in the last 5 years. Robotic systems in spine surgery may offer potential advantages for both patients and surgeons. T...

Automatic deep learning-based assessment of spinopelvic coronal and sagittal alignment.

Diagnostic and interventional imaging
PURPOSE: The purpose of this study was to evaluate an artificial intelligence (AI) solution for estimating coronal and sagittal spinopelvic alignment on conventional uniplanar two-dimensional whole-spine radiograph.

Deep Neural Networks-Based Age Estimation of Cadavers Using CT Imaging of Vertebrae.

International journal of environmental research and public health
Although age estimation upon death is important in the identification of unknown cadavers for forensic scientists, to the best of our knowledge, no study has examined the utility of deep neural network (DNN) models for age estimation among cadavers. ...

Spinal disease diagnosis assistant based on MRI images using deep transfer learning methods.

Frontiers in public health
INTRODUCTION: In light of the potential problems of missed diagnosis and misdiagnosis in the diagnosis of spinal diseases caused by experience differences and fatigue, this paper investigates the use of artificial intelligence technology for auxiliar...

A Gecko-Inspired Robot with a Flexible Spine Driven by Shape Memory Alloy Springs.

Soft robotics
The majority of sprawling-posture quadrupedal vertebrates, such as geckos and lizards, adopt a cyclical lateral swing pattern of their trunk that is coordinated with limb movements to provide extraordinary flexibility and mobility. Inspired by the ge...

The role of Artificial intelligence in the assessment of the spine and spinal cord.

European journal of radiology
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, multiple spine AI algorithms have been created based on radiographs, c...

Robotic Spine Surgery in Rhode Island.

Rhode Island medical journal (2013)
Surgical robots were first proposed in the 1960s with subsequent development and clinical implementation in the 1980s and 1990s. Recent advances in technology have led to widespread utilization of robots in many surgical subspecialties. In spine surg...

Robot-assisted versus navigated transpedicular spine fusion: A comparative study.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: The aim of this study was to compare the intraoperative and postoperative outcomes between a robot-assisted versus a navigated transpedicular fusion technique.

State-of-the-art Applications of Patient-Reported Outcome Measures in Spinal Care.

The Journal of the American Academy of Orthopaedic Surgeons
Patient-reported outcome measures (PROMs) assign objective measures to patient's subjective experiences of health, pain, disability, function, and quality of life. PROMs can be useful for providers in shared decision making, outcome assessment, and i...

A Bibliometric Analysis of Artificial Intelligence Applications in Spine Care.

Journal of neurological surgery. Part A, Central European neurosurgery
BACKGROUND:  With the rapid development of science and technology, artificial intelligence (AI) has been widely used in the diagnosis and prognosis of various spine diseases. It has been proved that AI has a broad prospect in accurate diagnosis and t...