Latest AI and machine learning research in nephrology for healthcare professionals.
BACKGROUND: To develop an automated classification system for urinary stone composition by integrati...
BACKGROUND: Diagnosing cardiac amyloidosis (CA) on echocardiography can be challenging due to the im...
To synthesize and critically appraise applications of machine learning (ML) in pediatric cardiac int...
IMPORTANCE: Artificial intelligence (AI) models are emerging as rapid, low-cost tools for predicting...
Primary care electronic medical records (EMRs) contain rich data that can support proactive identifi...
Most patients with ascending thoracic aortic aneurysms (ATAA) remain asymptomatic until they develop...
BACKGROUND: This study aims to develop a prediction model to identify individuals at risk of hyperte...
High-performance electrode materials are key to advancing supercapacitor technology. Hollow micro- a...
Kidney diseases represent a substantial public health concern, with their incidence increasing marke...
OBJECTIVES: ANCA-associated glomerulonephritis (ANCA-GN) is an immune-mediated kidney disease leadin...
The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2009 equation is the most commonly u...
OBJECTIVES: Incomplete or incorrect causal theories are a key source of bias in machine learning (ML...
BACKGROUND: About 30-40% of patients with renal-cell carcinoma experience recurrence within 5 years ...
STUDY OBJECTIVES: The rich information in sleep offers insights into brain function and overall heal...
BACKGROUND: Acute Kidney Injury (AKI) is common in neonates admitted to the Neonatal Intensive Care ...
AIMS: We applied unsupervised machine learning clustering to a large cohort of hypertensive patients...
BACKGROUND: Cytomegalovirus (CMV) End-Organ Disease (EOD) remains a significant complication in immu...
Imaging of renal graft function and pathology, including delayed graft function (DGF), often require...
The World Transplant Congress 2025 showcased pivotal advances shaping the future of transplantation....
OBJECTIVE: To investigate the performance of various convolutional neural networks (CNNs) in identif...
Kidney transplantation is usually the optimal treatment option for patients living with kidney failu...