Nephrology

Predicting tumor mutation burden and VHL mutation from renal cancer pathology slides with self-supervised deep learning.

BACKGROUND: Tumor mutation burden (TMB) and VHL mutation play a crucial role in the management of pa...

A Novel Machine-Learning Algorithm to Predict Stone Recurrence with 24-Hour Urine Data.

The absence of predictive markers for kidney stone recurrence poses a challenge for the clinical ma...

Integrated multi-omics with machine learning to uncover the intricacies of kidney disease.

The development of omics technologies has driven a profound expansion in the scale of biological dat...

A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis.

Patient-derived xenografts (PDX) model human intra- and intertumoral heterogeneity in the context of...

Assessment of Serum Creatinine and Serum Sodium Prognostic Potential in Heart Failure Patients Using Machine Learning.

Heart failure (HF) is the leading etiology for hospital admissions and ranks among the foremost cont...

3D Multi-feature fusion convolutional network for Alzheimer's disease diagnosis.

The cognitive decline caused by Alzheimer's disease (AD) is closely related to the structural change...

Selective Clamping for Robot-Assisted Surgical Procedures.

Partial nephrectomy, the gold standard treatment for renal tumors, is performed with clamping of the...

Predicting Donor Selection and Multi-Organ Transplantation within Organ Procurement Organizations Using Machine Learning.

Organ procurement organizations (OPOs) play a crucial role in the field of organ transplantation, se...

LLM-based kidney disease diagnostic framework for Pathologists.

Large language models revolutionize the recent paradigm in the medical field and its contributing to...

Ensemble Learning Approaches for Automatic Detection of Chronic Kidney Disease Stages during Sleep.

This study investigates the use of ensemble learning methods for the automatic detection of chronic ...

Towards early detection of chronic kidney disease based on gait patterns: IMU-based approach using neural networks.

The aging population has led to an increased prevalence of chronic kidney disease (CKD), associated ...

Artificial intelligence for forecasting live donor kidney function.

Deciphering the tumour microenvironment of clear cell renal cell carcinoma: Prognostic insights from programmed death genes using machine learning.

Clear cell renal cell carcinoma (ccRCC), a prevalent kidney cancer form characterised by its invasiv...

Using ChatGPT for Kidney Transplantation: Perceived Information Quality by Race and Education Levels.

BACKGROUND: Kidney transplantation is a complex process requiring extensive preparation and ongoing ...

[Artificial intelligence research advances in discrimination and diagnosis of pulmonary ground-glass nodules].

Lung cancer, which accounts for about 18% of all cancer-related deaths worldwide, has a dismal 5-yea...

Application of improved glomerular filtration rate estimation by a neural network model in patients with neurogenic lower urinary tract dysfunction.

BACKGROUND: Previous studies have indicated that creatinine (Cr)-based glomerular filtration rate (G...

Constructing synthetic datasets with generative artificial intelligence to train large language models to classify acute renal failure from clinical notes.

OBJECTIVES: To compare performances of a classifier that leverages language models when trained on s...

Deep Learning Assessment of Small Renal Masses at Contrast-enhanced Multiphase CT.

Background Accurate characterization of suspicious small renal masses is crucial for optimized manag...

An interpretable machine learning model to predict off-pump coronary artery bypass grafting-associated acute kidney injury.

BACKGROUND: Off-pump coronary artery bypass grafting-associated acute kidney injury (OPCAB-AKI) is r...

Deep learning to assess right ventricular ejection fraction from two-dimensional echocardiograms in precapillary pulmonary hypertension.

BACKGROUND: Precapillary pulmonary hypertension (PH) is characterized by a sustained increase in rig...

Transplant nephropathology: Wherefrom, wherein, and whereto.

Renal pathology is a relatively recent entry in nephrology. While diseases of the kidney are old, th...