AIMC Topic: Gout

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Thinking Like Sonographers: Human-Centered CNN Models for Gout Diagnosis From Musculoskeletal Ultrasound.

IEEE transactions on bio-medical engineering Mar 21, 2025
We explore the potential of deep convolutional neural network (CNN) models for differential diagnosis of gout from musculoskeletal ultrasound (MSKUS). Our exhaustive study of state-of-the-art (SOTA) CNN image classification models for this problem re...
Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Gout Ultrasonography Musculoskeletal System Diagnosis, Differential
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Developing an interpretable machine learning model for diagnosing gout using clinical and ultrasound features.

European journal of radiology Jan 31, 2025
OBJECTIVE: To develop a machine learning (ML) model using clinical data and ultrasound features for gout prediction, and apply SHapley Additive exPlanations (SHAP) for model interpretation.
Adult Sensitivity and Specificity Male Machine Learning Female Humans Aged Image Interpretation, Computer-Assisted Middle Aged Metatarsophalangeal Joint Gout Ultrasonography Uric Acid
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Large language models for accurate disease detection in electronic health records: the examples of crystal arthropathies.

RMD open Dec 20, 2024
OBJECTIVES: We propose and test a framework to detect disease diagnosis using a recent large language model (LLM), Meta's Llama-3-8B, on French-language electronic health record (EHR) documents. Specifically, it focuses on detecting gout ('goutte' in...
Electronic Health Records Sensitivity and Specificity Diagnosis, Computer-Assisted Gout Registries Large Language Models Humans
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Multimodal Machine Learning-Based Marker Enables Early Detection and Prognosis Prediction for Hyperuricemia.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jul 8, 2024
Hyperuricemia (HUA) has emerged as the second most prevalent metabolic disorder characterized by prolonged and asymptomatic period, triggering gout and metabolism-related outcomes. Early detection and prognosis prediction for HUA and gout are crucial...
Early Diagnosis Gout Middle Aged Hyperuricemia Uric Acid Machine Learning Biomarkers Prognosis Adult Male Female Aged Humans
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Creating machine learning models that interpretably link systemic inflammatory index, sex steroid hormones, and dietary antioxidants to identify gout using the SHAP (SHapley Additive exPlanations) method.

Frontiers in immunology May 1, 2024
BACKGROUND: The relationship between systemic inflammatory index (SII), sex steroid hormones, dietary antioxidants (DA), and gout has not been determined. We aim to develop a reliable and interpretable machine learning (ML) model that links SII, sex ...
Machine Learning Female Aged Middle Aged Diet Adult Male Humans Gonadal Steroid Hormones Gout Antioxidants Inflammation Nutrition Surveys
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Prediction of coronary heart disease in gout patients using machine learning models.

Mathematical biosciences and engineering : MBE Dec 27, 2022
Growing evidence shows that there is an increased risk of cardiovascular diseases among gout patients, especially coronary heart disease (CHD). Screening for CHD in gout patients based on simple clinical factors is still challenging. Here we aim to b...
Random Forest Gout Neural Networks, Computer Machine Learning Logistic Models Humans
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Identification of Gout Flares in Chief Complaint Text Using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Many patients with gout flares treated in the Emergency Department (ED) often do not receive optimal continuity of care after an ED visit. Thus, developing methods to identify patients with gout flares in the ED and referring them to appropriate outp...
Humans Algorithms Retrospective Studies Text Messaging Gout Symptom Flare Up Triage Natural Language Processing Emergency Service, Hospital
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Assessment of drug induced hyperuricemia and gout risk using the FDA adverse event reporting system.

Scientific reports Jul 2, 2025
Hyperuricemia, the key pathological basis of gout, is increasingly prevalent worldwide. While lifestyle factors contribute, various medications also play a role. However, their specific risks and mechanisms remain inadequately studied. Disproportiona...
Risk Factors Aged Adult Humans Female Hyperuricemia United States Food and Drug Administration Adverse Drug Reaction Reporting Systems Male Gout Middle Aged United States
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Deep learning reconstruction enhances tophus detection in a dual-energy CT phantom study.

Scientific reports May 28, 2025
This study aimed to compare two deep learning reconstruction (DLR) techniques (AiCE mild; AiCE strong) with two established methods-iterative reconstruction (IR) and filtered back projection (FBP)-for the detection of monosodium urate (MSU) in dual-e...
Gout Humans Tomography, X-Ray Computed Deep Learning Signal-To-Noise Ratio Phantoms, Imaging Image Processing, Computer-Assisted Uric Acid
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Metabolomic profiles underlying gout flares: a prospective study of people with gout.

RMD open May 8, 2025
OBJECTIVES: To identify specific metabolomic profiles associated with gout flares in people with gout.
Metabolome Gout Symptom Flare Up Adult Cross-Sectional Studies Male Middle Aged ROC Curve Metabolomics Biomarkers Female Aged Humans Machine Learning Prospective Studies
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