AIMC Topic: Tuberculosis, Spinal

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Comparative diagnostic accuracy of ChatGPT-4 and machine learning in differentiating spinal tuberculosis and spinal tumors.

The spine journal : official journal of the North American Spine Society Jan 11, 2025
BACKGROUND: In clinical practice, distinguishing between spinal tuberculosis (STB) and spinal tumors (ST) poses a significant diagnostic challenge. The application of AI-driven large language models (LLMs) shows great potential for improving the accu...
Male Middle Aged Adult Sensitivity and Specificity Diagnosis, Differential Spinal Neoplasms Tuberculosis, Spinal Generative Artificial Intelligence Magnetic Resonance Imaging Algorithms Humans Retrospective Studies Machine Learning Aged Female Young Adult
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Mask R-CNN assisted diagnosis of spinal tuberculosis.

Journal of X-ray science and technology Dec 24, 2024
The prevalence of spinal tuberculosis (ST) is particularly high in underdeveloped regions with inadequate medical conditions. This not only leads to misdiagnosis and delays in treatment progress but also contributes to the continued transmission of t...
Neural Networks, Computer Tomography, X-Ray Computed Diagnosis, Computer-Assisted Humans Deep Learning Tuberculosis, Spinal
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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 Humans Algorithms Aged Young Adult Female Deep Learning Male Brucellosis Diagnosis, Differential Adult Middle Aged Magnetic Resonance Imaging Feasibility Studies Sensitivity and Specificity
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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...
Length of Stay Tuberculosis, Spinal Male Middle Aged Spondylitis Machine Learning Algorithms Female Adult Humans Artificial Intelligence
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Identification of spinal tuberculosis subphenotypes using routine clinical data: a study based on unsupervised machine learning.

Annals of medicine Jan 1, 2023
OBJECTIVE: The identification of spinal tuberculosis subphenotypes is an integral component of precision medicine. However, we lack proper study models to identify subphenotypes in patients with spinal tuberculosis. Here we identified possible subphe...
Unsupervised Machine Learning Tuberculosis, Spinal Hospitalization Cluster Analysis Humans Algorithms
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[The autologous bundled multi-segment rib graft reconstruction for bone defects after thoracic spinal tuberculosis debridement].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery Oct 15, 2017
OBJECTIVE: To investigate the effectiveness of bundled multi-segment autologous rib graft reconstruction for bone defects after thoracic spinal tuberculosis debridement.
Spinal Fusion Adult Lumbar Vertebrae Male Treatment Outcome Middle Aged Debridement Tuberculosis, Spinal Fracture Fixation, Internal Thoracic Vertebrae Female Bone Transplantation Humans Young Adult Ribs
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