AIMC Topic: Glomerular Filtration Rate

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Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study.

The Lancet. Digital health Oct 28, 2021
BACKGROUND: Kidney allograft failure is a common cause of end-stage renal disease. We aimed to develop a dynamic artificial intelligence approach to enhance risk stratification for kidney transplant recipients by generating continuously refined predi...
Reproducibility of Results Adult Male Middle Aged Risk Assessment Artificial Intelligence Kidney Transplantation Prognosis Female Humans Postoperative Complications Models, Biological Kidney Glomerular Filtration Rate Proteinuria Area Under Curve Transplant Recipients Bayes Theorem Renal Insufficiency Allografts
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Artificial neural network for the prediction model of glomerular filtration rate to estimate the normal or abnormal stages of kidney using gamma camera.

Annals of nuclear medicine Sep 7, 2021
OBJECTIVE: Chronic kidney disease (CKD) is evaluated based on glomerular filtration rate (GFR) using a gamma camera in the nuclear medicine center or hospital in a routine procedure, but the gamma camera does not provide the accurate stages of the di...
Young Adult Renal Insufficiency, Chronic Adult Humans Glomerular Filtration Rate Male Neural Networks, Computer Radionuclide Imaging Middle Aged Female Gamma Cameras Kidney Aged
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Chronic kidney disease diagnosis using decision tree algorithms.

BMC nephrology Aug 9, 2021
BACKGROUND: Chronic Kidney Disease (CKD), i.e., gradual decrease in the renal function spanning over a duration of several months to years without any major symptoms, is a life-threatening disease. It progresses in six stages according to the severit...
Humans Machine Learning Middle Aged Disease Progression Severity of Illness Index Renal Insufficiency, Chronic Glomerular Filtration Rate Algorithms Prognosis Female Reproducibility of Results Male Medical Records Kidney Function Tests Decision Trees Patient Acuity Early Diagnosis
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A New Clinical Utility for Tubular Markers to Identify Kidney Responders to Saxagliptin Treatment in Adults With Diabetic Nephropathy.

Canadian journal of diabetes Aug 2, 2021
OBJECTIVES: In recent clinical studies, saxagliptin exhibited nephroprotective potential by lowering albuminuria. In this study, we aimed to determine whether these kidney effects of saxagliptin were mediated by changes in markers of kidney tubular d...
Dipeptides Diabetic Nephropathies Kidney Glomerular Filtration Rate Humans Albuminuria Biomarkers Adamantane Adult Diabetes Mellitus, Type 2
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Comparison of robot-assisted partial nephrectomy for complex (RENAL scores ≥10) and non-complex renal tumors: A single-center experience.

International journal of urology : official journal of the Japanese Urological Association Jul 19, 2021
OBJECTIVES: To compare functional and surgical outcomes of robot-assisted partial nephrectomy for complex tumors with RENAL scores ≥10 and non-complex tumors at a single academic institution.
Kidney Treatment Outcome Glomerular Filtration Rate Robotics Robotic Surgical Procedures Kidney Neoplasms Nephrectomy Humans Retrospective Studies
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Prediction of Incident Atrial Fibrillation in Chronic Kidney Disease: The Chronic Renal Insufficiency Cohort Study.

Clinical journal of the American Society of Nephrology : CJASN Jul 12, 2021
BACKGROUND AND OBJECTIVES: Atrial fibrillation (AF) is common in CKD and associated with poor kidney and cardiovascular outcomes. Prediction models developed using novel methods may be useful to identify patients with CKD at highest risk of incident ...
Natriuretic Peptide, Brain Likelihood Functions Race Factors Biomarkers Age Factors Female Humans Middle Aged Risk Factors Peptide Fragments Machine Learning Troponin T Risk Assessment Aged Atrial Fibrillation Renal Insufficiency, Chronic Male Glomerular Filtration Rate Follow-Up Studies
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Is off-clamp robot-assisted partial nephrectomy beneficial for renal function? Data from the CLOCK trial.

BJU international Jul 4, 2021
OBJECTIVES: To compare the functional outcomes of on- vs off-clamp robot-assisted partial nephrectomy (RAPN) within a randomized controlled trial (RCT).
Robotic Surgical Procedures Kidney Neoplasms Nephrectomy Kidney Treatment Outcome Glomerular Filtration Rate Robotics Humans Retrospective Studies
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Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images.

Nature biomedical engineering Jun 15, 2021
Regular screening for the early detection of common chronic diseases might benefit from the use of deep-learning approaches, particularly in resource-poor or remote settings. Here we show that deep-learning models can be used to identify chronic kidn...
Disease Progression Deep Learning Blood Glucose ROC Curve Diabetes Mellitus, Type 2 Renal Insufficiency, Chronic Glomerular Filtration Rate Neural Networks, Computer Body Mass Index Fundus Oculi Area Under Curve Image Interpretation, Computer-Assisted Body Weight Prospective Studies Metadata Humans Female Photography Retina Male Body Height Middle Aged
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Greater Renal Function Benefit from Enucleation Technique for More Complex Renal Tumors in Robot-Assisted Partial Nephrectomy.

Journal of endourology May 11, 2021
Tumor enucleation technique in robot-assisted partial nephrectomy (RAPN) reportedly contributes to renal function preservation. Which tumors and which part to utilize this technique have not been determined. This multi-institutional retrospective s...
Kidney Kidney Neoplasms Treatment Outcome Nephrectomy Eye Enucleation Humans Glomerular Filtration Rate Retrospective Studies Robotics Robotic Surgical Procedures
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Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease.

Diabetologia Apr 2, 2021
AIM: Predicting progression in diabetic kidney disease (DKD) is critical to improving outcomes. We sought to develop/validate a machine-learned, prognostic risk score (KidneyIntelX™) combining electronic health records (EHR) and biomarkers.
Middle Aged Disease Progression Cohort Studies Diabetic Nephropathies United States Humans Aged, 80 and over Machine Learning Young Adult Biomarkers Prognosis Adult Glomerular Filtration Rate Electronic Health Records Male Kidney Function Tests Female Predictive Value of Tests Risk Factors Aged
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