AIMC Topic: Spondylitis, Ankylosing
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Rapid screening for autoimmune diseases using Fourier transform infrared spectroscopy and deep learning algorithms.
Frontiers in immunology
Dec 15, 2023
INTRODUCE: Ankylosing spondylitis (AS), rheumatoid arthritis (RA), and osteoarthritis (OA) are three rheumatic immune diseases with many common characteristics. If left untreated, they can lead to joint destruction and functional limitation, and in s...
Rapid diagnosis of rheumatoid arthritis and ankylosing spondylitis based on Fourier transform infrared spectroscopy and deep learning.
Photodiagnosis and photodynamic therapy
Nov 4, 2023
OBJECTIVE: Rheumatoid arthritis and Ankylosing spondylitis are two common autoimmune inflammatory rheumatic diseases that negatively affect activities of daily living and can lead to structural and functional disability, reduced quality of life. Here...
Comprehensive AI-assisted tool for ankylosing spondylitis based on multicenter research outperforms human experts.
Frontiers in public health
Feb 9, 2023
INTRODUCTION: The diagnosis and treatment of ankylosing spondylitis (AS) is a difficult task, especially in less developed countries without access to experts. To address this issue, a comprehensive artificial intelligence (AI) tool was created to he...
Machine learning to predict early TNF inhibitor users in patients with ankylosing spondylitis.
Scientific reports
Nov 20, 2020
We aim to generate an artificial neural network (ANN) model to predict early TNF inhibitor users in patients with ankylosing spondylitis. The baseline demographic and laboratory data of patients who visited Samsung Medical Center rheumatology clinic ...
Use of machine learning techniques in the development and refinement of a predictive model for early diagnosis of ankylosing spondylitis.
Clinical rheumatology
May 1, 2019
OBJECTIVE: To develop a predictive mathematical model for the early identification of ankylosing spondylitis (AS) based on the medical and pharmacy claims history of patients with and without AS.
Abnormal Low-Frequency Oscillations Reflect Trait-Like Pain Ratings in Chronic Pain Patients Revealed through a Machine Learning Approach.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Jul 16, 2018
Measures of moment-to-moment fluctuations in brain activity of an individual at rest have been shown to be a sensitive and reliable metric for studying pathological brain mechanisms across various chronic pain patient populations. However, the relati...
Oxidative Phosphorylation Pathway in Ankylosing Spondylitis: Multi-Omics Analysis and Machine Learning.
International journal of rheumatic diseases
May 1, 2025
INTRODUCTION: Ankylosing spondylitis (AS) is a chronic inflammatory disease affecting the axial skeleton, characterized by immune microenvironment dysregulation and elevated cytokines like TNF-α and IL-17. Mitochondrial oxidative phosphorylation (OXP...
Automatic quantification and grading of hip bone marrow oedema in ankylosing spondylitis based on deep learning.
Modern rheumatology
Aug 20, 2022
OBJECTIVE: This study has developed a new automatic algorithm for the quantificationy and grading of ankylosing spondylitis (AS)-hip arthritis with magnetic resonance imaging (MRI).
[Treatment of ankylosing spondylitis with thoracolumbar fractures by robot-assisted internal fixation in lateral decubitus position].
Zhongguo gu shang = China journal of orthopaedics and traumatology
Feb 25, 2022
OBJECTIVE: To explore the effect of robot-assisted internal fixation in lateral decubitus position for the treatment of ankylosing spondylitis (AS) complicated with thoracolumbar fractures.
Incorporating natural language processing to improve classification of axial spondyloarthritis using electronic health records.
Rheumatology (Oxford, England)
May 1, 2020
OBJECTIVES: To develop classification algorithms that accurately identify axial SpA (axSpA) patients in electronic health records, and compare the performance of algorithms incorporating free-text data against approaches using only International Clas...
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