AIMC Topic: Renal Insufficiency, Chronic

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Multimodal ultrasound deep learning to detect fibrosis in early chronic kidney disease.

Renal failure Oct 22, 2024
We developed a multimodal ultrasound (US) deep learning (DL) fusion model to automatically classify early fibrosis in patients with chronic kidney disease (CKD). This prospective study included patients with CKD who underwent continuous gray-scale US...
Aged Renal Insufficiency, Chronic Adult Multimodal Imaging Male Middle Aged Fibrosis Elasticity Imaging Techniques Humans Deep Learning Prospective Studies Ultrasonography Female ROC Curve Kidney
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Development of a machine learning model for precision prognosis of rapid kidney function decline in people with diabetes and chronic kidney disease.

Diabetes research and clinical practice Oct 19, 2024
AIMS: To develop a machine learning model for predicting rapid kidney function decline in people with type 2 diabetes (T2D) and chronic kidney disease (CKD) and to pinpoint key modifiable risk factors for targeted interventions.
Male Middle Aged Disease Progression Diabetes Mellitus, Type 2 Diabetic Nephropathies Renal Insufficiency, Chronic Retrospective Studies Humans Glomerular Filtration Rate Female Machine Learning Risk Factors Prognosis Aged
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Development and validation of interpretable machine learning models to predict glomerular filtration rate in chronic kidney disease Colombian patients.

Annals of clinical biochemistry Sep 21, 2024
BACKGROUND: ML predictive models have shown their capability to improve risk prediction and assist medical decision-making, nevertheless, there is a lack of accuracy systems to early identify future rapid CKD progressors in Colombia and even in South...
Humans Machine Learning Female Middle Aged Renal Insufficiency, Chronic Glomerular Filtration Rate Colombia Aged Adult Male
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Personalized Prediction of Long-Term Renal Function Prognosis Following Nephrectomy Using Interpretable Machine Learning Algorithms: Case-Control Study.

JMIR medical informatics Sep 20, 2024
BACKGROUND: Acute kidney injury (AKI) is a common adverse outcome following nephrectomy. The progression from AKI to acute kidney disease (AKD) and subsequently to chronic kidney disease (CKD) remains a concern; yet, the predictive mechanisms for the...
Nephrectomy Postoperative Complications Case-Control Studies Renal Insufficiency, Chronic Prognosis Retrospective Studies Acute Kidney Injury Female Aged Male Middle Aged Humans Machine Learning Algorithms
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Deep learning radiomics based on ultrasound images for the assisted diagnosis of chronic kidney disease.

Nephrology (Carlton, Vic.) Aug 12, 2024
AIM: This study aimed to explore the value of ultrasound (US) images in chronic kidney disease (CKD) screening by constructing a CKD screening model based on grey-scale US images.
Renal Insufficiency, Chronic Middle Aged Deep Learning Ultrasonography Humans Retrospective Studies Female Aged Adult Radiomics Male
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Artificial intelligence in chronic kidney diseases: methodology and potential applications.

International urology and nephrology Jul 25, 2024
Chronic kidney disease (CKD) represents a significant global health challenge, characterized by kidney damage and decreased function. Its prevalence has steadily increased, necessitating a comprehensive understanding of its epidemiology, risk factors...
Artificial Intelligence Renal Insufficiency, Chronic Humans
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Three-dimensional convolutional neural network-based classification of chronic kidney disease severity using kidney MRI.

Scientific reports Jul 9, 2024
A three-dimensional convolutional neural network model was developed to classify the severity of chronic kidney disease (CKD) using magnetic resonance imaging (MRI) Dixon-based T1-weighted in-phase (IP)/opposed-phase (OP)/water-only (WO) imaging. Sev...
Glomerular Filtration Rate Magnetic Resonance Imaging Male Humans Imaging, Three-Dimensional Middle Aged Kidney Female Neural Networks, Computer Severity of Illness Index Renal Insufficiency, Chronic Aged Deep Learning Adult
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External validation of a 2-year all-cause mortality prediction tool developed using machine learning in patients with stage 4-5 chronic kidney disease.

Journal of nephrology Jul 4, 2024
BACKGROUND: Chronic kidney disease (CKD) is associated with increased mortality. Individual mortality prediction could be of interest to improve individual clinical outcomes. Using an independent regional dataset, the aim of the present study was to ...
Prognosis Female Reproducibility of Results Risk Factors Aged Male Middle Aged Humans Machine Learning Cause of Death ROC Curve Risk Assessment Renal Insufficiency, Chronic Severity of Illness Index Predictive Value of Tests Time Factors Area Under Curve
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Can large language models provide accurate and quality information to parents regarding chronic kidney diseases?

Journal of evaluation in clinical practice Jul 3, 2024
RATIONALE: Artificial Intelligence (AI) large language models (LLM) are tools capable of generating human-like text responses to user queries across topics. The use of these language models in various medical contexts is currently being studied. Howe...
Renal Insufficiency, Chronic Humans Artificial Intelligence Parents
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Machine learning for prediction of chronic kidney disease progression: Validation of the Klinrisk model in the CANVAS Program and CREDENCE trial.

Diabetes, obesity & metabolism May 28, 2024
AIM: To validate the Klinrisk machine learning model for prediction of chronic kidney disease (CKD) progression in patients with type 2 diabetes in the pooled CANVAS/CREDENCE trials.
Renal Insufficiency, Chronic Aged Humans Glomerular Filtration Rate Male Risk Assessment Machine Learning Middle Aged Disease Progression Female Diabetes Mellitus, Type 2 Diabetic Nephropathies
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