Latest AI and machine learning research in nephrology for healthcare professionals.
Importance. Current clinical artificial intelligence is bottlenecked by highly specialized, fragment...
Background: Diabetic kidney disease (DKD) is the leading cause of chronic kidney disease (CKD). Howe...
Early screening of chronic kidney disease (CKD) is critical for timely intervention, yet most machin...
Acute kidney injury (AKI) is a frequent complication within intensive care units, with its sudden on...
Background: Traditional real-world studies comparing SGLT2 and DPP4 inhibitors on renal outcomes rel...
Early screening of chronic kidney disease (CKD) is critical for timely intervention, yet most machin...
Artificial intelligence applied to routine electrocardiograms (ECGs) has largely focused on detectin...
Background: Current understanding of acute kidney injury (AKI) risk factors remains largely descript...
Accurate, reproducible interpretation of kidney allograft biopsies is critical for diagnosis of graf...
Electrolyte additive discovery remains challenging because experimentally validated molecules are sp...
Introduction: C3 glomerulopathy (C3G) is driven by fluid-phase alternative complement pathway dysreg...
Removing a specific individual's information from multimodal large language models (MLLMs) is often ...
Currently used sepsis severity indices rely on fixed variables and weights established decades ago, ...
Inorganic solid-state electrolytes must combine high room-temperature ionic conductivity, a wide ele...
Acquiring pixel-level annotations for medical image segmentation is a severe bottleneck. Traditional...
How water intake is initiated and maintained following V2 vasopressin receptor antagonism remains po...
Motivation: Graph Neural Networks (GNNs) have gained increasing interest in the biomedical domain, a...
Background and Objective: Early and reliable disease prediction from structured clinical data remain...
Background: Right ventricular (RV) function predicts survival in pulmonary hypertension (PH) and oth...
Deep-learning models of anatomy can be numerically plausible yet anatomically impossible, and they g...
Abstract Background: Cardiovascular-kidney-metabolic (CKM) syndrome is an increasingly prevalent mul...