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Spine

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LPAQR-Net: Efficient Vertebra Segmentation From Biplanar Whole-Spine Radiographs.

IEEE journal of biomedical and health informatics
Vertebra segmentation from biplanar whole-spine radiographs is highly demanded in the quantitative assessment of scoliosis and the resultant sagittal deformities. However, automatic vertebra segmentation from the radiographs is extremely challenging ...

Artificial intelligence and spine: rise of the machines.

The spine journal : official journal of the North American Spine Society

Automatic classification of medical image modality and anatomical location using convolutional neural network.

PloS one
Modern radiologic images comply with DICOM (digital imaging and communications in medicine) standard, which, upon conversion to other image format, would lose its image detail and information such as patient demographics or type of image modality tha...

Is there a difference between navigated and non-navigated robot cohorts in robot-assisted spine surgery? A multicenter, propensity-matched analysis of 2,800 screws and 372 patients.

The spine journal : official journal of the North American Spine Society
BACKGROUND CONTEXT: Robot-assisted spine surgery continues to rapidly develop as evidenced by the growing literature in recent years. In addition to demonstrating excellent pedicle screw accuracy, early studies have explored the impact of robot-assis...

State-of-the-art reviews predictive modeling in adult spinal deformity: applications of advanced analytics.

Spine deformity
Adult spinal deformity (ASD) is a complex and heterogeneous disease that can severely impact patients' lives. While it is clear that surgical correction can achieve significant improvement of spinopelvic parameters and quality of life measures in adu...

Artificial intelligence for adult spinal deformity: current state and future directions.

The spine journal : official journal of the North American Spine Society
As we experience a technological revolution unlike any other time in history, spinal surgery as a discipline is poised to undergo a dramatic transformation. As enormous amounts of data become digitized and more readily available, medical professional...

Using artificial intelligence to diagnose fresh osteoporotic vertebral fractures on magnetic resonance images.

The spine journal : official journal of the North American Spine Society
BACKGROUND CONTEXT: Accurate diagnosis of osteoporotic vertebral fracture (OVF) is important for improving treatment outcomes; however, the gold standard has not been established yet. A deep-learning approach based on convolutional neural network (CN...

Research on multi-path dense networks for MRI spinal segmentation.

PloS one
Accurate and robust segmentation of anatomical structures from magnetic resonance images is valuable in many computer-aided clinical tasks. Traditional codec networks are not satisfactory because of their low accuracy of edge segmentation, the low re...

Robotic assistant spinal angiography: a case report and technical considerations.

BMJ case reports
Robotic-assisted technology has shown to be promising in coronary and peripheral vascular interventions. Early case reports have also demonstrated its efficacy in neuro-interventions. However, there is no prior report demonstrating use of the robotic...

Deep learning-based X-ray inpainting for improving spinal 2D-3D registration.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Two-dimensional (2D)-3D registration is challenging in the presence of implant projections on intraoperative images, which can limit the registration capture range. Here, we investigate the use of deep-learning-based inpainting for removi...