AIMC Topic: Spondylitis

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Development of a deep learning-based MRI diagnostic model for human Brucella spondylitis.

Biomedical engineering online Jul 9, 2025
INTRODUCTION: Brucella spondylitis (BS) and tuberculous spondylitis (TS) are prevalent spinal infections with distinct treatment protocols. Rapid and accurate differentiation between these two conditions is crucial for effective clinical management; ...
ROC Curve Image Processing, Computer-Assisted Middle Aged Deep Learning Spondylitis Brucella Brucellosis Magnetic Resonance Imaging Aged Young Adult Adult Humans Male Female
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Differentiation of tuberculous and brucellar spondylitis using conventional MRI-based deep learning algorithms.

European journal of radiology Jul 27, 2024
PURPOSE: To investigate the feasibility of deep learning (DL) based on conventional MRI to differentiate tuberculous spondylitis (TS) from brucellar spondylitis (BS).
Tuberculosis, Spinal Spondylitis Diagnosis, Differential Feasibility Studies Magnetic Resonance Imaging Humans Algorithms Female Male Middle Aged Deep Learning Brucellosis Adult Sensitivity and Specificity Aged Young Adult
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Machine learning-enabled prediction of prolonged length of stay in hospital after surgery for tuberculosis spondylitis patients with unbalanced data: a novel approach using explainable artificial intelligence (XAI).

European journal of medical research Jul 25, 2024
BACKGROUND: Tuberculosis spondylitis (TS), commonly known as Pott's disease, is a severe type of skeletal tuberculosis that typically requires surgical treatment. However, this treatment option has led to an increase in healthcare costs due to prolon...
Female Adult Machine Learning Algorithms Length of Stay Tuberculosis, Spinal Male Middle Aged Humans Artificial Intelligence Spondylitis
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Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis.

Scientific reports Sep 3, 2018
The purpose of this study was to evaluate the performance of the deep convolutional neural network (DCNN) in differentiating between tuberculous and pyogenic spondylitis on magnetic resonance (MR) imaging, compared to the performance of three skilled...
Middle Aged Tuberculosis, Osteoarticular ROC Curve Male Image Interpretation, Computer-Assisted Area Under Curve Magnetic Resonance Imaging Retrospective Studies Supervised Machine Learning Spondylitis Diagnosis, Differential Spine Female Aged Humans Adult Neural Networks, Computer Algorithms
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