AIMC Topic: Renal Insufficiency

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Machine learning-based prediction models for renal impairment in Chinese adults with hyperuricaemia: risk factor analysis.

Scientific reports Mar 15, 2025
In hyperuricaemic populations, multiple factors may contribute to impaired renal function. This study aimed to establish a machine learning-based model to identify characteristic factors related to renal impairment in hyperuricaemic patients, determi...
Humans Machine Learning Algorithms Female Risk Factors China Logistic Models Hyperuricemia Uric Acid Renal Insufficiency Aged Adult Male Middle Aged
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Development and validation of 'Patient Optimizer' (POP) algorithms for predicting surgical risk with machine learning.

BMC medical informatics and decision making Mar 11, 2024
BACKGROUND: Pre-operative risk assessment can help clinicians prepare patients for surgery, reducing the risk of perioperative complications, length of hospital stay, readmission and mortality. Further, it can facilitate collaborative decision-making...
Adult Postoperative Complications Renal Insufficiency Hospitals, Teaching Algorithms Prospective Studies Retrospective Studies Humans Machine Learning
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Rapid diagnosis of membranous nephropathy based on serum and urine Raman spectroscopy combined with deep learning methods.

Scientific reports Feb 28, 2023
Membranous nephropathy is the main cause of nephrotic syndrome, which has an insidious onset and may progress to end-stage renal disease with a high mortality rate, such as renal failure and uremia. At present, the diagnosis of membranous nephropathy...
Kidney Failure, Chronic Humans Body Fluids Deep Learning Glomerulonephritis, Membranous Spectrum Analysis, Raman Renal Insufficiency
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Automated Prediction of Kidney Failure in IgA Nephropathy with Deep Learning from Biopsy Images.

Clinical journal of the American Society of Nephrology : CJASN Jul 26, 2022
BACKGROUND AND OBJECTIVES: Digital pathology and artificial intelligence offer new opportunities for automatic histologic scoring. We applied a deep learning approach to IgA nephropathy biopsy images to develop an automatic histologic prognostic scor...
Humans Artificial Intelligence Deep Learning Renal Insufficiency Kidney Glomerular Filtration Rate Biopsy Glomerulonephritis, IGA
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Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography.

International urology and nephrology Apr 11, 2022
PURPOSE: Although renal failure is a major healthcare burden globally and the cornerstone for preventing its irreversible progression is an early diagnosis, an adequate and noninvasive tool to screen renal impairment (RI) reliably and economically do...
Early Diagnosis Renal Insufficiency Humans Artificial Intelligence Retrospective Studies Electrocardiography
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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...
Models, Biological Proteinuria Transplant Recipients Renal Insufficiency Allografts Kidney Glomerular Filtration Rate Area Under Curve Bayes Theorem Kidney Transplantation Prognosis Female Reproducibility of Results Middle Aged Risk Assessment Postoperative Complications Adult Male Humans Artificial Intelligence
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Computer-Aided Diagnosis and Clinical Trials of Cardiovascular Diseases Based on Artificial Intelligence Technologies for Risk-Early Warning Model.

Journal of medical systems Jun 13, 2019
The use of artificial intelligence in medicine is currently an issue of great interest, especially with regard to the diagnostic or predictive analysis of medical data. In order to achieve the regional medical and public health data analysis through ...
Data Mining Renal Insufficiency Acute Disease Humans Bayes Theorem Artificial Intelligence Stroke Logistic Models Prognosis Heart Failure Support Vector Machine Risk Assessment Chronic Disease Severity of Illness Index Diagnosis, Computer-Assisted
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Machine Learning Accurately Predicts Short-Term Outcomes Following Open Reduction and Internal Fixation of Ankle Fractures.

The Journal of foot and ankle surgery : official publication of the American College of Foot and Ankle Surgeons Feb 23, 2019
Ankle fractures are common orthopedic injuries with favorable outcomes when managed with open reduction and internal fixation (ORIF). Several patient-related risk factors may contribute to poor short-term outcomes, and machine learning may be a valua...
Male Middle Aged Postoperative Complications Length of Stay Hypertension Diabetes Mellitus Age Factors Hospital Mortality United States Databases, Factual Female Risk Factors Cross-Sectional Studies Humans Anemia Machine Learning Renal Insufficiency Fracture Fixation, Internal Algorithms Ankle Fractures Lung Diseases Medicaid Medicare Open Fracture Reduction Heart Failure
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[Hepatitis B and renal failure: prevalence and associated factors in National University Hospital Center of Cotonou].

The Pan African medical journal Oct 17, 2018
INTRODUCTION: the association between the kidneys and hepatitis B is complex. This study aims to determine the prevalence and factors associated with renal disease in people living with hepatitis B virus (PLHBV) in Cotonou.
Middle Aged Young Adult Hepatitis B Surface Antigens Prevalence Glomerular Filtration Rate Hospitals, University Adult Hepatitis B Humans Adolescent Cross-Sectional Studies Benin Hypertension Antiviral Agents Age Factors Female Male Renal Insufficiency Tenofovir Risk Factors Aged
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Machine learning for real-time prediction of complications in critical care: a retrospective study.

The Lancet. Respiratory medicine Sep 28, 2018
BACKGROUND: The large amount of clinical signals in intensive care units can easily overwhelm health-care personnel and can lead to treatment delays, suboptimal care, or clinical errors. The aim of this study was to apply deep machine learning method...
Renal Insufficiency Humans Retrospective Studies Intensive Care Units Female ROC Curve Aged Postoperative Hemorrhage Predictive Value of Tests Male Cardiac Surgical Procedures Middle Aged Outcome Assessment, Health Care Deep Learning
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