The impact of artificial intelligence and big data on end-stage kidney disease treatments

The impact of deceased donor maintenance on delayed kidney allograft function: A machine learning analysis

(2020) Silvana Daher Costa et al.   PLoS One

Performance Analysis of Boosting Classifiers in Recognizing Activities of Daily Living

(2020) Saifur Rahman et al.   International Journal of Environmental Research and Public Health

Application of Artificial Intelligence Techniques to Predict Survival in Kidney Transplantation: A Review

(2020) Covadonga Díez-Sanmartín et al.   Journal of Clinical Medicine

Machine learning for the prediction of severe pneumonia during posttransplant hospitalization in recipients of a deceased-donor kidney transplant

(2020) You Luo et al.   Annals of Translational Medicine

Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity

(2020) Kamran Shaukat et al.   Energies

Application of explainable ensemble artificial intelligence model to categorization of hemodialysis-patient and treatment using nationwide-real-world data in Japan

(2020) Eiichiro Kanda et al.   PLoS One

Comparison of hemodialysis and peritoneal dialysis patients’ dietary behaviors

(2020) Seon-Mi Kim et al.   BMC Nephrology

Prediction of the Mortality Risk in Peritoneal Dialysis Patients using Machine Learning Models: A Nation-wide Prospective Cohort in Korea

(2020) Junhyug Noh et al.   Scientific Reports

Identifying scenarios of benefit or harm from kidney transplantation during the COVID‐19 pandemic: A stochastic simulation and machine learning study

(2020) Allan B. Massie et al.   AMERICAN JOURNAL OF TRANSPLANTATION

Nomenclature for kidney function and disease: report of a Kidney Disease: Improving Global Outcomes (KDIGO) Consensus Conference

(2020) Andrew S. Levey et al.   KIDNEY INTERNATIONAL

Machine learning to predict transplant outcomes: helpful or hype? A national cohort study

(2020) Sunjae Bae et al.   TRANSPLANT INTERNATIONAL

Deep Learning Could Diagnose Diabetic Nephropathy with Renal Pathological Immunofluorescent Images

(2020) Shinji Kitamura et al.   Diagnostics

Hierarchical Clustering Analysis for Predicting 1-Year Mortality After Starting Hemodialysis

(2020) Yohei Komaru et al.   Kidney International Reports

The study of the association between immune monitoring and pneumonia in kidney transplant recipients through machine learning models

(2020) Bo Peng et al.   Journal of Translational Medicine

Evaluation of Hemodialysis Arteriovenous Bruit by Deep Learning

(2020) Keisuke Ota et al.   SENSORS

The prototype device for non-invasive diagnosis of arteriovenous fistula condition using machine learning methods

(2020) Marcin Grochowina et al.   Scientific Reports

Proposal of a new equation for estimating resting energy expenditure of acute kidney injury patients on dialysis: a machine learning approach

(2020) Daniela Ponce et al.   Nutrition & Metabolism

Virtual Calibration Quantitative Mass Spectrometry Imaging for Accurately Mapping Analytes Across Heterogenous Bio-tissue

(2019) Xiaowei Song et al.   ANALYTICAL CHEMISTRY

Using machine learning and an ensemble of methods to predict kidney transplant survival

(2019) Ethan Mark et al.   PLoS One

Predicting kidney transplantation outcome based on hybrid feature selection and KNN classifier

(2019) Dalia M. Atallah et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Machine Learning for Survival Analysis

(2019) Ping Wang et al.   ACM COMPUTING SURVEYS

A novel approach reveals that HLA class 1 single antigen bead-signatures provide a means of high-accuracy pre-transplant risk assessment of acute cellular rejection in renal transplantation

(2019) Nicole Wittenbrink et al.   BMC IMMUNOLOGY

A Novel CNN-Based CAD System for Early Assessment of Transplanted Kidney Dysfunction

(2019) Hisham Abdeltawab et al.   Scientific Reports

Layer-Wise Relevance Propagation for Explaining Deep Neural Network Decisions in MRI-Based Alzheimer's Disease Classification

(2019) Moritz Böhle et al.   Frontiers in Aging Neuroscience

Artificial Intelligence Prediction Model for the Cost and Mortality of Renal Replacement Therapy in Aged and Super-Aged Populations in Taiwan

(2019) Shih-Yi Lin et al.   Journal of Clinical Medicine

Random forest can accurately predict the development of end-stage renal disease in immunoglobulin a nephropathy patients

(2019) Xin Han et al.   Annals of Translational Medicine

A machine learning-based approach for predicting the outbreak of cardiovascular diseases in patients on dialysis

(2019) Sabrina Mezzatesta et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Machine Learning Classification for Assessing the Degree of Stenosis and Blood Flow Volume at Arteriovenous Fistulas of Hemodialysis Patients Using a New Photoplethysmography Sensor Device

(2019) Chiang et al.   SENSORS

Intradialytic hypotension related episodes identification based on the most effective features of photoplethysmography signal

(2018) Vahid Reza Nafisi et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Computer-Aided Diagnostic System for Early Detection of Acute Renal Transplant Rejection Using Diffusion-Weighted MRI

(2018) Mohamed Shehata et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Artificial neural network model for predicting the bioavailability of tacrolimus in patients with renal transplantation

(2018) Kalluri Thishya et al.   PLoS One

Deep learning based tissue analysis predicts outcome in colorectal cancer

(2018) Dmitrii Bychkov et al.   Scientific Reports

Machine Learning in Medical Imaging

(2018) Maryellen L. Giger   Journal of the American College of Radiology

Deep Learning Applications in Medical Image Analysis

(2018) Justin Ker et al.   IEEE Access

A dynamic model for predicting graft function in kidney recipients’ upcoming follow up visits: a clinical application of artificial neural network

(2018) Parviz Rashidi Khazaee et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

(2018) Nicolas Coudray et al.   NATURE MEDICINE

Prediction of Hemodialysis Timing Based on LVW Feature Selection and Ensemble Learning

(2018) Chang-zhu Xiong et al.   JOURNAL OF MEDICAL SYSTEMS

Projecting ESRD Incidence and Prevalence in the United States through 2030

(2018) Keith P. McCullough et al.   JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY

Machine Learning for Medical Imaging

(2017) Bradley J. Erickson et al.   RADIOGRAPHICS

A Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study

(2017) Kyung Don Yoo et al.   Scientific Reports

Decision tree and random forest models for outcome prediction in antibody incompatible kidney transplantation

(2017) Torgyn Shaikhina et al.   Biomedical Signal Processing and Control

A new method for classifying different phenotypes of kidney transplantation

(2016) Dong Zhu et al.   CELL BIOLOGY AND TOXICOLOGY

Cumulative/dynamic ROC curve estimation

(2016) Pablo Martínez-Camblor et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Performance of a Predictive Model for Long-Term Hemoglobin Response to Darbepoetin and Iron Administration in a Large Cohort of Hemodialysis Patients

(2016) Carlo Barbieri et al.   PLoS One

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

(2015) Sebastian Bach et al.   PLoS One

A histologic classification of IgA nephropathy for predicting long-term prognosis: emphasis on end-stage renal disease

(2012) Tetsuya Kawamura et al.   JOURNAL OF NEPHROLOGY

Impact of Hepatitis C Virus Infection on the Risk of Infectious Complications After Kidney Transplantation: Data From the RESITRA/REIPI Cohort

(2011) Francisco López-Medrano et al.   TRANSPLANTATION

Systematic screening and treatment of asymptomatic bacteriuria in renal transplant recipients

(2010) Silvana Fiorante et al.   KIDNEY INTERNATIONAL

Risk Factors for Urinary Tract Infections During the First Year After Kidney Transplantation

(2010) R. Sorto et al.   TRANSPLANTATION PROCEEDINGS

The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration

(2009) Alessandro Liberati et al.   PLOS MEDICINE

A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability

(2008) S. García et al.   SOFT COMPUTING

Incisional Surgical Site Infection in Kidney Transplantation

(2008) Antonio Ramos et al.   UROLOGY