Latest AI and machine learning research in nephrology for healthcare professionals.
OBJECTIVE: This study aims to investigate the factors affecting development of acute kidney injury (...
In today's digital world, with growing population and increasing pollution, unhealthy lifestyle habi...
In order to provide decision-making support for the auxiliary diagnosis and individualized treatment...
Generative artificial intelligence (AI), a subset of machine learning that creates new content based...
Hypertension, a widespread cardiovascular issue, presents a major global health challenge. Tradition...
Leptospirosis is a global disease that impacts people worldwide, particularly in humid and tropical ...
PURPOSE: To develop and validate a predictive combined model for metastasis in patients with clear c...
Screening high-risk populations is crucial for the prevention and treatment of kidney stones. Here, ...
BACKGROUND: Metastasis renal cell carcinoma (RCC) patients have extremely high mortality rate. A pre...
BACKGROUND AND OBJECTIVE: Heavy metals, ubiquitous in the environment, pose a global public health c...
INTRODUCTION: Continuous renal replacement therapy (CRRT) is a primary form of renal support for pat...
BACKGROUND AND OBJECTIVE: In renal disease research, precise glomerular disease diagnosis is crucial...
Accurate assessment of epidermal growth factor receptor (EGFR) mutation status and subtype is critic...
OBJECTIVE: This study aims to develop and validate machine learning models to predict proliferative ...
To develop a robust segmentation model, encoding the underlying features/structures of the input dat...
Malaria is an extremely malignant disease and is caused by the bites of infected female mosquitoes. ...
Renal cell carcinoma (RCC), accounting for 90% of all kidney cancer, is categorized into clear cell ...
OBJECTIVE: The co-occurrence of kidney disease in patients with type 2 diabetes (T2D) is a major pub...
OBJECTIVES: This study aimed to explore the underlying mechanisms of sepsis and acute kidney injury ...
Atrial fibrillation (AF) is the most common clinically significant cardiac arrhythmia and is an impo...
PURPOSE: In pathology images, different stains highlight different glomerular structures, so a super...