AIMC Topic: Spondylitis

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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).
Humans Algorithms Female Aged Young Adult Adult Sensitivity and Specificity Male Middle Aged Deep Learning Brucellosis Magnetic Resonance Imaging Diagnosis, Differential Feasibility Studies Tuberculosis, Spinal Spondylitis
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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...
Humans Artificial Intelligence Machine Learning Algorithms Female Adult Male Middle Aged Length of Stay Tuberculosis, Spinal 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...
Humans Neural Networks, Computer Algorithms Retrospective Studies Female Aged Adult Male Middle Aged ROC Curve Magnetic Resonance Imaging Diagnosis, Differential Area Under Curve Spine Supervised Machine Learning Image Interpretation, Computer-Assisted Spondylitis Tuberculosis, Osteoarticular
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