Latest AI and machine learning research in nephrology for healthcare professionals.
Kidney stone disease ranks among the most prevalent conditions in urology, and understanding the com...
Clinicians lack precision medicine tools to estimate individualized treatment effects for patients w...
Introduction: Podocyte injury is central to the pathogenesis of most glomerulonephritides (GN) and c...
Chronic kidney disease of unknown etiology (CKDu) has emerged as an important public health challeng...
Background: The 2017 American College of Cardiology/American Heart Association (ACC/AHA) guideline l...
Sleep disturbances lead to risk for cardiovascular (CV), metabolic, and neurological diseases. While...
Retinal fundus imaging enables low-cost and scalable hypertension (HTN) screening, but HTN-related r...
Accurate segmentation of coronary arteries from computed tomography angiography (CTA) images is of p...
Monocular 3D lane detection remains challenging due to depth ambiguity and weak geometric constraint...
The reliability of artificial intelligence (AI) in medical imaging critically depends on its robustn...
Deletions in Exon-19 of the epidermal growth factor receptor (EGFR) play a pivotal role in the patho...
Standard deep learning models for image segmentation cannot guarantee topology accuracy, failing to ...
Spatial graphs provide a lightweight and elegant representation of curvilinear anatomical structures...
Histopathology foundation models (HFMs), pretrained on large-scale cancer datasets, have advanced co...
Hyperkalemia is a life-threatening electrolyte disorder that is common in patients with chronic kidn...
Renal cell carcinoma (RCC) with venous tumor thrombus, termed renal intravascular tumor extension (R...
Clear cell renal cell carcinoma (ccRCC) is the leading cause of kidney cancer-related death, but how...
Glomerular pathology is central to the diagnosis and prognosis of renal diseases, yet the heterogene...
Drug discovery is often constrained by target identification, a bottleneck especially acute in antim...
Accurate segmentation of aortic dissection (AD) lumens in CT angiography (CTA) is essential for quan...
Background: Kidney volumetry derived from CT has been proposed as a surrogate of renal function in l...