Nephrology

Automated vs. manual segmentation for small renal mass imaging.

INTRODUCTION: Automated segmentation using artificial intelligence (AI) has the potential to rapidly...

Exploring the potential targets and mechanisms of artemisinin in the treatment of diabetic kidney disease using network pharmacology and molecular docking.

Diabetic kidney disease (DKD) is a secondary glomerular disease caused by diabetes, and its incidenc...

Environmental Levels of Sodium p-Perfluorous Nonenoxybenzene Sulfonate Induce Nephritis in Renal Proximal Tubular Epithelial Cells via Modulation of Estrogen Signaling Pathways.

Sodium p-perfluorous nonenoxybenzene sulfonate (OBS), widely used as an alternative to per- and poly...

Submanifold sparse convolutional networks for automated 3D segmentation of kidneys and kidney tumours in computed tomography.

Accurate delineation of kidney tumours in Computed Tomography (CT) is essential for downstream quant...

Artificial intelligence in cardio-kidney-metabolic care: Transforming integrated disease management through data-informed innovation.

Artificial intelligence (AI) is rapidly transforming the landscape of chronic medical conditions, su...

A Cost-Efficient Multi-Angle Fusion Deep Learning for Ultrasound Localization Microscopy.

Ultrasound localization microscopy (ULM) enables super-resolution imaging of microvascular structure...

Exploring the Lung-Liver Axis in Pulmonary Arterial Hypertension.

The liver's contribution to pulmonary arterial hypertension (PAH) pathogenesis remains unclear. We h...

Predicting Positive Surgical Margins in Robot-Assisted Prostatectomy Using Machine Learning Models.

OBJECTIVE: To develop a machine learning (ML) model predicting positive surgical margins (PSM) after...

Enhancing urothelial carcinoma diagnosis with artificial intelligence-integrated urine cytology: Biopsy-validated accuracy and efficiency gain.

BACKGROUND: Urine cytology is a noninvasive tool for detecting urothelial carcinoma, yet its perform...

Kidney health without borders: a multilingual kidney education platform.

Deep learning for automatic segmentation of the inferior alveolar nerve using a hybrid CNN-transformer framework.

Accurate identification of the inferior alveolar nerve (IAN) is essential for preventing nerve injur...

Generative adversarial networks for enhanced performance prediction of square CFST members under axial tension.

Taking square concrete-filled steel tubular (CFST) members under axial tension as the research objec...

Clinical subtypes and prognosis of new-onset atrial fibrillation in critically ill patients.

BACKGROUND: New-onset atrial fibrillation (NOAF) is a common cardiovascular complication in critical...

Beyond Reactive Surveillance: Can Machine Learning Finally Personalize Heart Transplant Care?

Quantitative MRI of pediatric chronic kidney disease and renal fibrosis: potential non-invasive clinical biomarkers.

Chronic kidney disease (CKD) in children is a rare but serious condition characterized by progressiv...

A lightweight deep learning model with channel attention for kidney cell classification from microscopy images.

Accurate identification of renal cell types within tissue architecture is fundamental for understand...

Explainable ensemble machine learning for predicting diabetes mellitus and identifying key risk factors: a population-based study in northern Bangladesh.

Diabetes mellitus (DM) is an escalating global public health concern, with a rapidly increasing burd...

Machine-learning prediction of 30-day infection-related hospitalization in advanced CKD.

BACKGROUND: Patients with advanced chronic kidney disease (CKD), defined as having an estimated glom...

Electronic health record-derived machine learning model for hypoglycemia risk prediction in type 2 diabetes mellitus patients: development and validation.

BACKGROUND: Hypoglycemia is a serious complication of diabetes. Early recognition of hypoglycemia ca...

Machine learning prediction of long-term postoperative pneumonia risk: a retrospective cohort study.

BACKGROUND: Postoperative pneumonia is a significant complication, highlighting a patient's ongoing ...

Two-stage deep learning networks for diagnosing and staging membranous glomerulonephritis from electron microscopy images.

PURPOSE: The purpose of this study was to use transmission electron miscroscopy images to develop a ...