Latest AI and machine learning research in nephrology for healthcare professionals.
BACKGROUND: Acute renal failure remains a significant complication after open thoracoabdominal aortic aneurysm (TAAA) repair and is associated with high mortality. Rigorous risk estimation for this complication is vital for these patients. METHODS: Data were analyzed from 2809 patients who underwent elective, open TAAA repair between 1986 and 2024 at a single practice. Persistent renal failure was...
BACKGROUND: To develop an automated classification system for urinary stone composition by integrating smartphone-based microscopic imaging (TIPSCOPE) with the GoogLeNet architecture, with the goal of enabling rapid, accurate, and cost-effective analysis of stone composition. METHODS: A total of 140 surgically extracted kidney stone samples were collected and classified into four categories: calci...
BACKGROUND: Diagnosing cardiac amyloidosis (CA) on echocardiography can be challenging due to the imaging overlap between CA and more prevalent causes...
To synthesize and critically appraise applications of machine learning (ML) in pediatric cardiac intensive care, focusing on algorithm performance, va...
IMPORTANCE: Artificial intelligence (AI) models are emerging as rapid, low-cost tools for predicting targetable genomic alterations directly from rout...
Primary care electronic medical records (EMRs) contain rich data that can support proactive identification of chronic health conditions. However, leve...
Most patients with ascending thoracic aortic aneurysms (ATAA) remain asymptomatic until they develop fatal complications, including aortic dissection ...
BACKGROUND: This study aims to develop a prediction model to identify individuals at risk of hypertensive disorders of pregnancy (HDPs), including ges...
High-performance electrode materials are key to advancing supercapacitor technology. Hollow micro- and nanostructured materials with confined space ef...
Kidney diseases represent a substantial public health concern, with their incidence increasing markedly over the past decade. Addressing this challeng...
OBJECTIVES: ANCA-associated glomerulonephritis (ANCA-GN) is an immune-mediated kidney disease leading to acute or chronic renal failure. This study in...
The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2009 equation is the most commonly used equation for estimating glomerular filtration ...
OBJECTIVES: Incomplete or incorrect causal theories are a key source of bias in machine learning (ML) algorithms. Community-engaged methodologies prov...
BACKGROUND: About 30-40% of patients with renal-cell carcinoma experience recurrence within 5 years after partial nephrectomy despite current prognost...
STUDY OBJECTIVES: The rich information in sleep offers insights into brain function and overall health. The current guidelines for sleep staging by th...
BACKGROUND: Acute Kidney Injury (AKI) is common in neonates admitted to the Neonatal Intensive Care Unit (NICU). Neonatal AKI is associated with multi...
AIMS: We applied unsupervised machine learning clustering to a large cohort of hypertensive patients undergoing echocardiography with strain imaging t...
BACKGROUND: Cytomegalovirus (CMV) End-Organ Disease (EOD) remains a significant complication in immunocompromised individuals, particularly transplant...
Imaging of renal graft function and pathology, including delayed graft function (DGF), often requires a multimodal approach. The existing literature d...
The World Transplant Congress 2025 showcased pivotal advances shaping the future of transplantation. Global efforts to expand access to transplantatio...