Nephrology

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

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Predictive models of epidermal growth factor receptor mutation in lung adenocarcinoma using PET/CT-based radiomics features.

BACKGROUND: Lung adenocarcinoma (LAC) comprises a substantial subset of non-small cell lung cancer (...

Apr 2025 40165657
Detection of kidney bean leaf spot disease based on a hybrid deep learning model.

Rapid diagnosis of kidney bean leaf spot disease is crucial for ensuring crop health and increasing ...

Apr 2025 40169647
Machine learning-based risk prediction model for arteriovenous fistula stenosis.

BACKGROUND: Arteriovenous fistula stenosis is a common complication in hemodialysis patients, yet ef...

Mar 2025 40156016
AI and Machine Learning for Precision Medicine in Acute Pancreatitis: A Narrative Review.

Acute pancreatitis (AP) presents a significant clinical challenge due to its wide range of severity,...

Mar 2025 40282920
Artificial intelligence-based multimodal prediction for nuclear grading status and prognosis of clear cell renal cell carcinoma: a multicenter cohort study.

BACKGROUND: The assessment of the International Society of Urological Pathology (ISUP) nuclear grade...

Mar 2025 40146270
Machine learning for risk prediction of acute kidney injury in patients with diabetes mellitus combined with heart failure during hospitalization.

This study aimed to develop a machine learning (ML) model for predicting the risk of acute kidney in...

Mar 2025 40155666
Fine-tuned deep learning models for early detection and classification of kidney conditions in CT imaging.

The kidney plays a vital role in maintaining homeostasis, but lifestyle factors and diseases can lea...

Mar 2025 40155680
Imaging and spatially resolved mass spectrometry applications in nephrology.

The application of spatially resolved mass spectrometry (MS) and MS imaging approaches for studying ...

Mar 2025 40148534
Interpretable machine learning-based insights into early-life endocrine disruptor exposure and small vulnerable newborns.

Early-life exposure to endocrine-disrupting chemicals (EDCs) may contribute to small vulnerable newb...

Mar 2025 40158502
DASNet: A Convolutional Neural Network with SE Attention Mechanism for ccRCC Tumor Grading.

Clear cell renal cell carcinoma (ccRCC) is the most common form of renal cell carcinoma in adults, c...

Mar 2025 40126867
Foundation Model and Radiomics-Based Quantitative Characterization of Perirenal Fat in Renal Cell Carcinoma Surgery.

RATIONALE AND OBJECTIVES: To quantitatively characterize the degree of perirenal fat adhesion using ...

Mar 2025 40133088
A new era in nephrology: the role of super-resolution microscopy in research, medical diagnostic, and drug discovery.

For decades, electron microscopy has been the primary method to visualize ultrastructural details of...

Mar 2025 40139567
Which approach better predicts diabetes: Traditional econometric methods or machine learning? Evidence from a cross-sectional study in South Korea.

To prevent chronic disease from getting worse, it is important to detect and predict it at an early ...

Mar 2025 40121801
Machine learning-based prediction of vesicoureteral reflux outcomes in infants under antibiotic prophylaxis.

We aimed to investigate the independent outcome predictors of continuous antibiotic prophylaxis (CAP...

Mar 2025 40121274
Artificial intelligence in chronic kidney disease management: a scoping review.

Chronic kidney disease (CKD) is a major public health problem worldwide associated with cardiovascu...

Mar 2025 40225559
Predicting intra-abdominal hypertension using anthropometric measurements and machine learning.

Almost one in four critically ill patients suffer from intra-abdominal hypertension (IAH). Currently...

Mar 2025 40108362
Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective Study.

BACKGROUND: Most artificial intelligence-based research on acute kidney injury (AKI) prediction has ...

Mar 2025 40101226
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