AIMC Topic: Kidney Calculi

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Integrating neural networks with advanced optimization techniques for accurate kidney disease diagnosis.

Scientific reports Sep 18, 2024
Kidney diseases pose a significant global health challenge, requiring precise diagnostic tools to improve patient outcomes. This study addresses this need by investigating three main categories of renal diseases: kidney stones, cysts, and tumors. Uti...
Tomography, X-Ray Computed Deep Learning Kidney Diseases Neural Networks, Computer Algorithms Kidney Calculi Humans
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Still Using Only ChatGPT? The Comparison of Five Different Artificial Intelligence Chatbots' Answers to the Most Common Questions About Kidney Stones.

Journal of endourology Sep 6, 2024
To evaluate and compare the quality and comprehensibility of answers produced by five distinct artificial intelligence (AI) chatbots-GPT-4, Claude, Mistral, Google PaLM, and Grok-in response to the most frequently searched questions about kidney sto...
Internet Comprehension Kidney Calculi Humans Artificial Intelligence
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Letter to the editor for the article "A machine learning approach using stone volume to predict stone-free status at ureteroscopy".

World journal of urology Aug 22, 2024
Kidney Calculi Ureteroscopy Ureteral Calculi Humans Machine Learning
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A Machine Learning Predictive Model for Ureteroscopy Lasertripsy Outcomes in a Pediatric Population-Results from a Large Endourology Tertiary Center.

Journal of endourology Aug 12, 2024
We aimed to develop machine learning (ML) algorithms for the automated prediction of postoperative ureteroscopy outcomes for pediatric kidney stones based on preoperative characteristics. Data from pediatric patients who underwent ureteroscopy for ...
Female Male Infant Machine Learning Retrospective Studies Humans Urology Kidney Calculi Ureteroscopy Laser Therapy Adolescent Child Treatment Outcome Child, Preschool Tertiary Care Centers
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Quality of Information About Kidney Stones from Artificial Intelligence Chatbots.

Journal of endourology Jul 29, 2024
Kidney stones are common and morbid conditions in the general population with a rising incidence globally. Previous studies show substantial limitations of online sources of information regarding prevention and treatment. The objective of this study...
Kidney Calculi Consumer Health Information Internet Humans Artificial Intelligence
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Machine learning models to predict systemic inflammatory response syndrome after percutaneous nephrolithotomy.

BMC urology Jul 8, 2024
OBJECTIVE: The objective of this study was to develop and evaluate the performance of machine learning models for predicting the possibility of systemic inflammatory response syndrome (SIRS) following percutaneous nephrolithotomy (PCNL).
Postoperative Complications Systemic Inflammatory Response Syndrome Kidney Calculi Nephrolithotomy, Percutaneous Predictive Value of Tests Adult Male Middle Aged Female Aged Machine Learning Humans Retrospective Studies
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Commentary on "develop a radiomics-based machine learning model to predict the stone-free rate post-percutaneous nephrolithotomy".

Urolithiasis Jun 27, 2024
Radiomics Humans Kidney Calculi Machine Learning Nephrolithotomy, Percutaneous
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Integrative approach for efficient detection of kidney stones based on improved deep neural network architecture.

SLAS technology Jun 21, 2024
In today's digital world, with growing population and increasing pollution, unhealthy lifestyle habits like irregular eating, junk food consumption, and lack of exercise are becoming more common, leading to various health problems, including kidney i...
Humans Machine Learning Kidney Calculi Neural Networks, Computer
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Machine learning constructs a diagnostic prediction model for calculous pyonephrosis.

Urolithiasis Jun 19, 2024
In order to provide decision-making support for the auxiliary diagnosis and individualized treatment of calculous pyonephrosis, the study aims to analyze the clinical features of the condition, investigate its risk factors, and develop a prediction m...
Female Aged Adult Kidney Calculi Hydronephrosis Male Machine Learning Humans Middle Aged Pyonephrosis Retrospective Studies
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CT-based radiomics of machine-learning to screen high-risk individuals with kidney stones.

Urolithiasis Jun 15, 2024
Screening high-risk populations is crucial for the prevention and treatment of kidney stones. Here, we employed radiomics to screen high-risk patients for kidney stones. A total of 513 independent kidneys from our hospital between 2020 and 2022 were ...
Risk Factors Aged Radiomics Male Adult Retrospective Studies Tomography, X-Ray Computed Female Humans Machine Learning Kidney Calculi Middle Aged Risk Assessment
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