AIMC Topic: Gout
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An artificial intelligence-based gout management system reduced chronic kidney disease incident and improved target serum urate achievement.
Rheumatology (Oxford, England)
May 1, 2025
OBJECTIVES: Stage ≥3 chronic kidney disease (CKD) affects ∼25% of people with gout. The effects of urate-lowering therapy (ULT) on CKD incidence and progression have remained inconclusive. Here, we assessed the impact of a gout ULT clinic interventio...
Exploring the Impact of PA and Sedentary Behavior on Gout Risk in Hyperuricemia: Insights From Machine Learning and SHAP Analysis.
International journal of rheumatic diseases
Apr 1, 2025
BACKGROUND: Individuals with hyperuricemia (HUA) are widely recognized as being at increased risk for gout. This study aimed to investigate how physical activity (PA) duration and sedentary duration impact gout risk in individuals with HUA and to dev...
An objective diagnosis of gout and calcium pyrophosphate deposition disease with machine learning of Raman spectra acquired in a point-of-care setting.
Rheumatology (Oxford, England)
Apr 1, 2025
OBJECTIVE: Raman spectroscopy is proposed as a next-generation method for the identification of monosodium urate (MSU) and calcium pyrophosphate (CPP) crystals in synovial fluid. As the interpretation of Raman spectra requires specific expertise, the...
A machine learning-based prediction model for gout in hyperuricemics: a nationwide cohort study.
Rheumatology (Oxford, England)
Sep 1, 2024
OBJECTIVE: To develop a machine learning-based prediction model for identifying hyperuricemic participants at risk of developing gout.
Prevention and Management of Complications During Robotic-assisted Laparoscopic Radical Prostatectomy Following Comprehensive Planning: A Large Series Involving a Single Surgeon.
Anticancer research
Apr 1, 2016
AIM: To report a series of 1,000 patients treated by a single surgeon using robotic-assisted laparoscopic radical prostatectomy (RALP) and to show how to prevent and manage complications of the procedure.
Measuring physician adherence with gout quality indicators: a role for natural language processing.
Arthritis care & research
Feb 1, 2015
OBJECTIVE: To evaluate physician adherence with gout quality indicators (QIs) for medication use and monitoring, and behavioral modification (BM).
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