Latest AI and machine learning research in nephrology for healthcare professionals.
Purpose To assess the agreement between routine-dose (RD) and lower-dose (LD) contrast-enhanced CT s...
INTRODUCTION: Primary graft dysfunction (PGD) is a significant barrier to survival in lung transplan...
Early diagnosis of kidney disease is crucial for treatment and prognosis. Compared with kidney biops...
Oral microbiota and serum metabolites play crucial roles in diabetes, but their relationship with po...
Hyperuricemia is a global health concern, with environmental chemicals as risk factors. This study u...
BACKGROUND: Assessing the extent of inflammation in peritubular capillaries (PTCs) is important for ...
BACKGROUND: The exposome framework seeks to unravel the cumulated effects of environmental exposures...
Ultrasound (US) is widely accessible and radiation-free but has a steep learning curve due to its ...
Generating radiology reports from CT scans remains a complex task due to the nuanced nature of med...
With the incorporation of effective therapies for myelofibrosis (MF), accurately predicting outcomes...
BACKGROUND: Chronic kidney disease (CKD) is a major global public health issue, with a steadily incr...
Accurate multi-class tubular modeling is critical for precise lesion localization and optimal trea...
Vesicoureteral reflux (VUR) is traditionally assessed using subjective grading systems, which intr...
In nontargeted spatial metabolomics, accurate annotation is crucial for understanding metabolites' b...
Graph Neural Networks (GNNs) have recently been found to excel in histopathology. However, an impo...
Postoperative stroke remains a critical complication in elderly surgical intensive care unit (SICU...
Experimental model systems, especially animal models, are indispensable tools to study human disease...
BACKGROUND: Cognitive impairment is common but frequently undiagnosed in the dialysis population. We...
OBJECTIVE: To establish and evaluate a prognostic model of immunoglobulin A nephropathy (IgAN) based...
Heart failure (HF) poses a significant public health challenge, with a rising global mortality rate....
This study presents a machine learning model to predict renal function decline following minimally-i...