Nephrology

Latest AI and machine learning research in nephrology for healthcare professionals.

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Identification of common biomarkers in diabetic kidney disease and cognitive dysfunction using machine learning algorithms.

Cognitive dysfunction caused by diabetes has become a serious global medical issue. Diabetic kidney ...

Sep 2024 39333211
Interpretable machine learning models for the prediction of all-cause mortality and time to death in hemodialysis patients.

INTRODUCTION: The elevated mortality and hospitalization rates among hemodialysis (HD) patients unde...

(2)
Sep 2024 39327762
Development and validation of interpretable machine learning models to predict glomerular filtration rate in chronic kidney disease Colombian patients.

BACKGROUND: ML predictive models have shown their capability to improve risk prediction and assist m...

Sep 2024 39242084
Identification of Nocturnal Leg Cramps and Affecting Factors in COPD Patients: Logistic Regression and Artificial Neural Network.

Although there are many sleep-related complaints in chronic obstructive pulmonary disease (COPD) pat...

(3)
Sep 2024 39301776
Personalized Prediction of Long-Term Renal Function Prognosis Following Nephrectomy Using Interpretable Machine Learning Algorithms: Case-Control Study.

BACKGROUND: Acute kidney injury (AKI) is a common adverse outcome following nephrectomy. The progres...

Sep 2024 39303280
An integrated machine learning model enhances delayed graft function prediction in pediatric renal transplantation from deceased donors.

BACKGROUND: Kidney transplantation is the optimal renal replacement therapy for children with end-st...

(2)
Sep 2024 39304842
Factors associated with 90-day mortality in Vietnamese stroke patients: Prospective findings compared with explainable machine learning, multicenter study.

The prevalence and predictors of mortality following an ischemic stroke or intracerebral hemorrhage ...

Sep 2024 39302916
Integrating neural networks with advanced optimization techniques for accurate kidney disease diagnosis.

Kidney diseases pose a significant global health challenge, requiring precise diagnostic tools to im...

Sep 2024 39289394
Unsupervised Machine Learning to Identify Risk Factors of Pyeloplasty Failure in Ureteropelvic Junction Obstruction.

In adult patients with ureteropelvic junction obstruction (UPJO), little data exist on predicting p...

Sep 2024 39264846
Methods for phenotyping adult patients with acute kidney injury: a systematic review.

BACKGROUND: Acute kidney injury (AKI) is a multifaceted disease characterized by diverse clinical pr...

(2)
Sep 2024 39283471
RCC-Supporter: supporting renal cell carcinoma treatment decision-making using machine learning.

BACKGROUND: The population diagnosed with renal cell carcinoma, especially in Asia, represents 36.6%...

(1)
Sep 2024 39285449
Clinical impact of deep learning-derived intravascular ultrasound characteristics in patients with deferred coronary artery.

Prognostic markers for long-term outcomes are lacking in patients with deferred (nonculprit) coronar...

(1)
Sep 2024 39265789
Skeleton-guided 3D convolutional neural network for tubular structure segmentation.

PURPOSE: Accurate segmentation of tubular structures is crucial for clinical diagnosis and treatment...

(1)
Sep 2024 39264412
Predictive performance of urinalysis for urine culture results according to causative microorganisms: an integrated analysis with artificial intelligence.

Urinary tract infections (UTIs) are pervasive and prevalent in both community and hospital settings....

Sep 2024 39264202
Prediction of Vascular Access Stenosis by Lightweight Convolutional Neural Network Using Blood Flow Sound Signals.

This research examines the application of non-invasive acoustic analysis for detecting obstructions ...

Sep 2024 39338665
Identification of kidney-related medications using AI from self-captured pill images.

INTRODUCTION: ChatGPT, a state-of-the-art large language model, has shown potential in analyzing ima...

Sep 2024 39258385
Multimodal radiomics-based methods using deep learning for prediction of brain metastasis in non-small cell lung cancer withF-FDG PET/CT images.

. Approximately 57% of non-small cell lung cancer (NSCLC) patients face a 20% risk of brain metastas...

(1)
Sep 2024 39214122
Machine learning reveals the rules governing the efficacy of mesenchymal stromal cells in septic preclinical models.

BACKGROUND: Mesenchymal Stromal Cells (MSCs) are the preferred candidates for therapeutics as they p...

(1)
Sep 2024 39256841
Prediction of Inhibitory Activity against the MATE1 Transporter via Combined Fingerprint- and Physics-Based Machine Learning Models.

Renal secretion plays an important role in excretion of drug from the kidney. Two major transporters...

Sep 2024 39254593
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