AIMC Topic: Renal Insufficiency, Chronic

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Prediction of chronic kidney disease and its progression by artificial intelligence algorithms.

Journal of nephrology May 11, 2022
BACKGROUND AND OBJECTIVE: Aim of nephrologists is to delay the outcome and reduce the number of patients undergoing renal failure (RF) by applying prevention protocols and accurately monitoring chronic kidney disease (CKD) patients. General practitio...
Humans Databases, Factual Disease Progression Renal Insufficiency, Chronic Artificial Intelligence Machine Learning Algorithms
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Monitoring Approaches for a Pediatric Chronic Kidney Disease Machine Learning Model.

Applied clinical informatics May 4, 2022
OBJECTIVE: The purpose of this study is to evaluate the ability of three metrics to monitor for a reduction in performance of a chronic kidney disease (CKD) model deployed at a pediatric hospital.
Renal Insufficiency, Chronic Benchmarking Models, Biological Female Risk Factors Hospitalization Male Child ROC Curve Prospective Studies Computer Simulation Retrospective Studies Humans Machine Learning
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Machine Learning-Aided Chronic Kidney Disease Diagnosis Based on Ultrasound Imaging Integrated with Computer-Extracted Measurable Features.

Journal of digital imaging Apr 11, 2022
Although ultrasound plays an important role in the diagnosis of chronic kidney disease (CKD), image interpretation requires extensive training. High operator variability and limited image quality control of ultrasound images have made the application...
Ultrasonography Renal Insufficiency, Chronic Adult Male Middle Aged Computers Female Aged Humans Neural Networks, Computer Machine Learning
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Implementation of Hospital-to-Home Model for Nutritional Nursing Management of Patients with Chronic Kidney Disease Using Artificial Intelligence Algorithm Combined with CT Internet.

Contrast media & molecular imaging Mar 27, 2022
The objective of this study was to evaluate the application value of "Internet + hospital-to-home (H2H)" nutritional care model using the improved wavelet transform algorithm based on computed tomography (CT) images in the nutritional care management...
Renal Insufficiency, Chronic Internet Nutritional Status Tomography, X-Ray Computed Humans Nutrition Assessment Artificial Intelligence Hospitals Algorithms
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Unsupervised machine learning for identifying important visual features through bag-of-words using histopathology data from chronic kidney disease.

Scientific reports Mar 22, 2022
Pathologists use visual classification to assess patient kidney biopsy samples when diagnosing the underlying cause of kidney disease. However, the assessment is qualitative, or semi-quantitative at best, and reproducibility is challenging. To discov...
Humans Female Reproducibility of Results Unsupervised Machine Learning Biopsy Male Renal Insufficiency, Chronic Glomerular Filtration Rate
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Artificial intelligence in glomerular diseases.

Pediatric nephrology (Berlin, Germany) Mar 10, 2022
In this narrative review, we focus on the application of artificial intelligence in the clinical history of patients with glomerular disease, digital pathology in kidney biopsy, renal ultrasonography imaging, and prediction of chronic kidney disease ...
Humans Prospective Studies Retrospective Studies Renal Insufficiency, Chronic Artificial Intelligence Machine Learning Algorithms
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Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark.

Computational intelligence and neuroscience Feb 23, 2022
Chronic kidney disease (CKD) has become a widespread disease among people. It is related to various serious risks like cardiovascular disease, heightened risk, and end-stage renal disease, which can be feasibly avoidable by early detection and treatm...
Humans Machine Learning Algorithms Renal Insufficiency, Chronic Support Vector Machine Bayes Theorem
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Predicting factor analysis of postoperative complications after robot-assisted radical cystectomy: Multicenter KORARC database study.

International journal of urology : official journal of the Japanese Urological Association Feb 8, 2022
OBJECTIVES: To evaluate postoperative complications following robot-assisted radical cystectomy in patients diagnosed with bladder cancer and reveal if there are predictors for postoperative complications.
Renal Insufficiency, Chronic Cystectomy Robotics Treatment Outcome Humans Factor Analysis, Statistical Urinary Bladder Neoplasms Retrospective Studies Robotic Surgical Procedures Postoperative Complications
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Artificial Intelligence in the Identification, Management, and Follow-Up of CKD.

Kidney360 Jan 14, 2022
Algorithms Humans Renal Insufficiency, Chronic Artificial Intelligence Follow-Up Studies Machine Learning
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Using Machine Learning to Identify Metabolomic Signatures of Pediatric Chronic Kidney Disease Etiology.

Journal of the American Society of Nephrology : JASN Jan 11, 2022
BACKGROUND: Untargeted plasma metabolomic profiling combined with machine learning (ML) may lead to discovery of metabolic profiles that inform our understanding of pediatric CKD causes. We sought to identify metabolomic signatures in pediatric CKD b...
Child Kidney Logistic Models Renal Insufficiency, Chronic Support Vector Machine Humans Metabolomics Machine Learning Adolescent Prospective Studies Metabolome Female Cohort Studies Metabolic Networks and Pathways Male Child, Preschool Glomerulosclerosis, Focal Segmental Infant
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