AIMC Topic: Renal Dialysis

Clear Filters Showing 41 to 50 of 112 articles

Deep Learning on Electrocardiograms for Prediction of In-hospital Intradialytic Hypotension in Patients with ESKD.

Kidney360 Jul 7, 2023
Intradialytic hypotension is common in patients who are on hemodialysis. We applied deep learning techniques to ECGs to predict patients at risk of IDH. The performance of the model was good with an AUC of 0.763 and AUPRC of 0.35.
Humans Electrocardiography Kidney Failure, Chronic Hospitals Hypotension Deep Learning Renal Dialysis
View on PubMed DOI

Predicting dry weight change in Hemodialysis patients using machine learning.

BMC nephrology Jun 29, 2023
BACKGROUND: Machine Learning has been increasingly used in the medical field, including managing patients undergoing hemodialysis. The random forest classifier is a Machine Learning method that can generate high accuracy and interpretability in the d...
Asian Body Weight Changes Random Forest Body Weight Japan Humans Machine Learning Renal Dialysis Blood Pressure
View on PubMed DOI

One-Step Robot-Assisted Complete Urinary Tract Extirpation in Man with End-Stage Renal Disease on Dialysis: The First Case Report.

Current oncology (Toronto, Ont.) May 16, 2023
Urothelial carcinoma (UC) could be observed in urinary bladder (UBUC) and upper urinary tracts (UTUC). In the National Comprehensive Cancer Network guidelines for bladder cancer, extirpative surgery is indicated in certain cases. However, some extrem...
Humans Urinary Tract Urinary Bladder Neoplasms Carcinoma, Transitional Cell Robotics Male Kidney Failure, Chronic Renal Dialysis
View on PubMed DOI

Surgical planning of arteriovenous fistulae in routine clinical practice: A machine learning predictive tool.

The journal of vascular access Feb 10, 2023
BACKGROUND: Arteriovenous fistula (AVF) is the preferred vascular access (VA) for hemodialysis, but it is associated with high non-maturation and failure rates. Predicting patient-specific AVF maturation and postoperative changes in blood flow volume...
Regional Blood Flow Blood Flow Velocity Arteriovenous Shunt, Surgical Treatment Outcome Predictive Value of Tests Models, Cardiovascular Patient-Specific Modeling Graft Occlusion, Vascular Vascular Patency Upper Extremity Reproducibility of Results Aged Male Humans Middle Aged Machine Learning Renal Dialysis Time Factors Retrospective Studies Clinical Decision-Making Decision Support Techniques Female Databases, Factual
View on PubMed DOI

Artificial Intelligence and Machine Learning in Dialysis: Ready for Prime Time?

Clinical journal of the American Society of Nephrology : CJASN Jan 27, 2023
Artificial Intelligence Humans Machine Learning Renal Dialysis Algorithms
View on PubMed DOI

Artificial Intelligence in Pediatric Nephrology-A Call for Action.

Advances in kidney disease and health Dec 13, 2022
Artificial intelligence is playing an increasingly important role in many fields of clinical care to assist health care providers in patient management. In adult-focused nephrology, artificial intelligence is beginning to be used to improve clinical ...
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Infant, Newborn Child Renal Dialysis Nephrology Adolescent
View on PubMed DOI

Early prediction of hemodialysis complications employing ensemble techniques.

Biomedical engineering online Oct 11, 2022
BACKGROUND AND OBJECTIVES: Hemodialysis complications remain a critical threat among dialysis patients. They result in sudden termination of the session which impacts the efficiency of dialysis. As intra-dialytic complications are the result of the i...
Renal Dialysis Artificial Intelligence Machine Learning Algorithms Humans
View on PubMed DOI

Deep Learning-Based Digital Subtraction Angiography Characteristics in Nursing of Maintenance Hemodialysis Patients.

Contrast media & molecular imaging Aug 27, 2022
This study is aimed at exploring the diagnostic value of digital subtraction angiography (DSA) based on faster region-based convolutional networks (Faster-RCNN) deep learning for maintenance hemodialysis (MHD) diseases and to provide a theoretical ba...
Renal Dialysis Angiography, Digital Subtraction Humans Deep Learning
View on PubMed DOI

A Machine Learning Model for Predicting Mortality within 90 Days of Dialysis Initiation.

Kidney360 Jul 20, 2022
BACKGROUND: The first 90 days after dialysis initiation are associated with high morbidity and mortality in end-stage kidney disease (ESKD) patients. A machine learning-based tool for predicting mortality could inform patient-clinician shared decisio...
Adult Male Risk Assessment Female Reproducibility of Results Humans United States Renal Dialysis Kidney Failure, Chronic Machine Learning Treatment Outcome Cohort Studies Time Factors Models, Statistical
View on PubMed DOI

Construction of a prediction model for drug removal rate in hemodialysis based on chemical structures.

Molecular diversity Jan 1, 2022
In designing drug dosing for hemodialysis patients, the removal rate (RR) of the drug by hemodialysis is important. However, acquiring the RR is difficult, and there is a need for an estimation method that can be used in clinical settings. In this st...
Neural Networks, Computer Quantitative Structure-Activity Relationship Humans Renal Dialysis Least-Squares Analysis
View on PubMed DOI
Popular Topics
Recent Journals