AI Medical Compendium Topic

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Vertebral Body

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A deep learning system for automated, multi-modality 2D segmentation of vertebral bodies and intervertebral discs.

Bone
PURPOSE: Fractures in vertebral bodies are among the most common complications of osteoporosis and other bone diseases. However, studies that aim to predict future fractures and assess general spine health must manually delineate vertebral bodies and...

[Study on parameters of robot-assisted ultrasonic drilling on bovine vertebral body].

Zhonghua yi xue za zhi
To investigate the effect of ultrasonic parameter settings on maximum temperatures in the drilling site and penetration time and determine the most suitable parameters for efficient and safe robot-based ultrasonic bone drilling in spinal surgery. F...

Development and multi-institutional validation of a convolutional neural network to detect vertebral body mis-alignments in 2D x-ray setup images.

Medical physics
BACKGROUND: Misalignment to the incorrect vertebral body remains a rare but serious patient safety risk in image-guided radiotherapy (IGRT).

Automated measurements of interscrew angles in vertebral body tethering patients with deep learning.

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